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Diffstat (limited to 'source/luametatex/source/libraries/libcerf')
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/CHANGELOG | 118 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/LICENSE | 22 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/README.md | 109 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/cerf.h | 93 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/defs.h | 97 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/erfcx.c | 528 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/err_fcts.c | 438 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/experimental.c | 178 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/im_w_of_x.c | 519 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/readme-luametatex.txt | 26 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/w_of_z.c | 393 | ||||
| -rw-r--r-- | source/luametatex/source/libraries/libcerf/width.c | 100 |
12 files changed, 2621 insertions, 0 deletions
diff --git a/source/luametatex/source/libraries/libcerf/CHANGELOG b/source/luametatex/source/libraries/libcerf/CHANGELOG new file mode 100644 index 000000000..9ac940088 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/CHANGELOG @@ -0,0 +1,118 @@ +== Revision history of libcerf, maintained by Joachim Wuttke == + +Homepage moved to https://jugit.fz-juelich.de/mlz/libcerf, 17mar19 + +libcerf-1.13, released 28feb19: + - Further adjustments for compilation under Windows + +libcerf-1.12, released 7feb19: + - Require CMake 3.6, outcomment code that requires 3.13. + - Relative paths in CMake sources, for use as subproject. + - When compiling as CPP, then #include<complex>, not <complex.h>; + revise the entire C-vs-CPP machinery. + - Remove tests with different inf or nan results on different systems or under + different compilers. + +libcerf-1.11, released 28dec18: + - Cover voigt by test_voigt. + - Implement new function voigt_hwhm. + - Restore libcerf.pc. + - Add INSTALL instructions, and other minor adjustments for use of libcerf in C++ projects. + - Support 'ctest', which runs the numeric accuracy tests from test1.c. + - Rename type cmplx into _cerf_cmplx to avoid name clash with Gnuplot pre 5.3. + +libcerf-1.8 [2oct18], libcerf-1.9 [16oct18] and libcerf-1.10 [20dec18] + MUST NOT BE USED + - A bug introduced in v1.8 had broken the normalization of the Voigt function. + - The git history leading to v1.10 has been rewritten, starting anew from v1.7 + +libcerf-1.7, released 26sep18: + - Option -DCERF_CPP allows to choose C++ compilation, which is useful + because MS VisualStudio supports C++14, but not yet C99, and in + particular does not support complex.h under C. + +libcerf-1.6, released 20sep18: + - Migrated from automake to CMake. + - Corrected typos in man pages. + +libcerf-1.5, released 12oct16: + - Removed unused inline function (detected by clang-1.3., reported by Luke Benes) + +libcerf-1.4, released 27aug14: + - HTML version of man pages no longer installs to man/html. + - More concise man pages. + - Delete a few unused include's. + - Autotools script corrected (suggestions by Christoph Junghans). + +libcerf-1.3, released 17jul13: + - Now supporting pkg-config (suggested by Mojca Miklavec). + +libcerf-1.2, released 16jul13: + - Test programs no longer install to $bindir (reported by Mojca Miklavec). + +libcerf-1.1, released 12may13: + - Added Fortran binding by Antonio Cervellino. + +libcerf-1.0, released 31jan13 by Joachim Wuttke: + - Based on http://ab-initio.mit.edu/Faddeeva as of 28jan13. + - Verified accuracy using double-exponential transform. + - Simplified function names; + use leading 'c' for complex functions (except in w_of_z). + - Added function voigt(x,sigma,gamma). + - Added configure.ac, Makefile.am &c to allow for autotools standard + installation (commands ./configure, make, sudo make install). + - Splitted source code into directories lib/ and test/. + - Eliminated unused alternate code (!USE_CONTINUED_FRACTION). + - Eliminated relerr arguments. + - Replaced "complex" by "_Complex" for C++ compatibility. + - Wrote man pages w_of_z(3), dawson(3), voigt(3), cerf(3), erfcx(3), erfi(3). + - Created project home page http://apps.jcns.fz-juelich.de/libcerf. + - Registered project "libcerf" at sourceforge.net. + +== Revision history of Faddeeva.cc by Steven G. Johnson == + +Project at http://ab-initio.mit.edu/Faddeeva + + 4 October 2012: Initial public release (SGJ) + 5 October 2012: Revised (SGJ) to fix spelling error, + start summation for large x at round(x/a) (> 1) + rather than ceil(x/a) as in the original + paper, which should slightly improve performance + (and, apparently, slightly improves accuracy) + 19 October 2012: Revised (SGJ) to fix bugs for large x, large -y, + and 15<x<26. Performance improvements. Prototype + now supplies default value for relerr. + 24 October 2012: Switch to continued-fraction expansion for + sufficiently large z, for performance reasons. + Also, avoid spurious overflow for |z| > 1e154. + Set relerr argument to min(relerr,0.1). + 27 October 2012: Enhance accuracy in Re[w(z)] taken by itself, + by switching to Alg. 916 in a region near + the real-z axis where continued fractions + have poor relative accuracy in Re[w(z)]. Thanks + to M. Zaghloul for the tip. + 29 October 2012: Replace SLATEC-derived erfcx routine with + completely rewritten code by me, using a very + different algorithm which is much faster. + 30 October 2012: Implemented special-case code for real z + (where real part is exp(-x^2) and imag part is + Dawson integral), using algorithm similar to erfx. + Export ImFaddeeva_w function to make Dawson's + integral directly accessible. + 3 November 2012: Provide implementations of erf, erfc, erfcx, + and Dawson functions in Faddeeva:: namespace, + in addition to Faddeeva::w. Provide header + file Faddeeva.hh. + 4 November 2012: Slightly faster erf for real arguments. + Updated MATLAB and Octave plugins. +27 November 2012: Support compilation with either C++ or + plain C (using C99 complex numbers). + For real x, use standard-library erf(x) + and erfc(x) if available (for C99 or C++11). + #include "config.h" if HAVE_CONFIG_H is #defined. +15 December 2012: Portability fixes (copysign, Inf/NaN creation), + use CMPLX/__builtin_complex if available in C, + slight accuracy improvements to erf and dawson + functions near the origin. Use gnulib functions + if GNULIB_NAMESPACE is defined. +18 December 2012: Slight tweaks (remove recomputation of x*x in Dawson) diff --git a/source/luametatex/source/libraries/libcerf/LICENSE b/source/luametatex/source/libraries/libcerf/LICENSE new file mode 100644 index 000000000..30979bbd8 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/LICENSE @@ -0,0 +1,22 @@ +/* Copyright (c) 2012 Massachusetts Institute of Technology + * Copyright (c) 2013 Forschungszentrum Jülich GmbH + * + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ diff --git a/source/luametatex/source/libraries/libcerf/README.md b/source/luametatex/source/libraries/libcerf/README.md new file mode 100644 index 000000000..e825f8f99 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/README.md @@ -0,0 +1,109 @@ +# libcerf + +This is the home page of **libcerf**, a self-contained numeric library that provides an efficient and accurate implementation of complex error functions, along with Dawson, Faddeeva, and Voigt functions. + +# User Documentation + +## Synopsis + +In the following, "complex" stands for the C99 data type "double _Complex": + + * complex [cerf](http://apps.jcns.fz-juelich.de/man/cerf.html) (complex): The complex error function erf(z). + * complex [cerfc](http://apps.jcns.fz-juelich.de/man/cerf.html) (complex): The complex complementary error function erfc(z) = 1 - erf(z). + * complex [cerfcx](http://apps.jcns.fz-juelich.de/man/erfcx.html) (complex z): The underflow-compensating function erfcx(z) = exp(z^2) erfc(z). + * double [erfcx](http://apps.jcns.fz-juelich.de/man/erfcx.html) (double x): The same for real x. + * complex [cerfi](http://apps.jcns.fz-juelich.de/man/erfi.html) (complex z): The imaginary error function erfi(z) = -i erf(iz). + * double [erfi](http://apps.jcns.fz-juelich.de/man/erfi.html) (double x): The same for real x. + * complex [w_of_z](http://apps.jcns.fz-juelich.de/man/w_of_z.html) (complex z): Faddeeva's scaled complex error function w(z) = exp(-z^2) erfc(-iz). + * double [im_w_of_x](http://apps.jcns.fz-juelich.de/man/w_of_z.html) (double x): The same for real x, returning the purely imaginary result as a real number. + * complex [cdawson](http://apps.jcns.fz-juelich.de/man/dawson.html) (complex z): Dawson's integral D(z) = sqrt(pi)/2 * exp(-z^2) * erfi(z). + * double [dawson](http://apps.jcns.fz-juelich.de/man/dawson.html) (double x): The same for real x. + * double [voigt](http://apps.jcns.fz-juelich.de/man/voigt.html) (double x, double sigma, double gamma): The convolution of a Gaussian and a Lorentzian. + * double [voigt_hwhm](http://apps.jcns.fz-juelich.de/man/voigt_hwhm.html) (double sigma, double gamma): The half width at half maximum of the Voigt profile. + +## Accuracy + +By construction, it is expected that the relative accuracy is generally better than 1E-13. This has been confirmed by comparison with high-precision Maple computations and with a *long double* computation using Fourier transform representation and double-exponential transform. + +## Copyright and Citation + +Copyright (C) [Steven G. Johnson](http:*math.mit.edu/~stevenj), Massachusetts Institute of Technology, 2012; [Joachim Wuttke](http:*www.fz-juelich.de/SharedDocs/Personen/JCNS/EN/Wuttke_J.html), Forschungszentrum Jülich, 2013. + +License: [MIT License](http://opensource.org/licenses/MIT) + +When using libcerf in scientific work, please cite as follows: + * S. G. Johnson, A. Cervellino, J. Wuttke: libcerf, numeric library for complex error functions, version [...], http://apps.jcns.fz-juelich.de/libcerf + +Please send bug reports to the authors, or submit them through the Gitlab issue tracker. + +## Further references + +Most function evaluations in this library rely on Faddeeva's function w(z). + +This function has been reimplemented from scratch by [Steven G. Johnson](http://math.mit.edu/~stevenj); +project web site http://ab-initio.mit.edu/Faddeeva. The implementation partly relies on algorithms from the following publications: + * Walter Gautschi, *Efficient computation of the complex error function,* SIAM J. Numer. Anal. 7, 187 (1970). + * G. P. M. Poppe and C. M. J. Wijers, *More efficient computation of the complex error function,* ACM Trans. Math. Soft. 16, 38 (1990). + * Mofreh R. Zaghloul and Ahmed N. Ali, *Algorithm 916: Computing the Faddeyeva and Voigt Functions,* ACM Trans. Math. Soft. 38, 15 (2011). + +# Installation + +## From source + +Download location: http://apps.jcns.fz-juelich.de/src/libcerf/ + +Build&install are based on CMake. Out-of-source build is enforced. +After unpacking the source, go to the source directory and do: + + mkdir build + cd build + cmake .. + make + make install + +To test, run the programs in directory test/. + +The library has been developed using gcc-4.7. Reports about successful compilation with older versions of gcc would be welcome. For correct support of complex numbers it seems that at least gcc-4.3 is required. Compilation with gcc-4.2 works after removing of the "-Werror" flag from *configure*. + +## Binary packages + + * Linux: + * [rpm package](https://build.opensuse.org/package/show/science/libcerf) by Christoph Junghans + * [Gentoo package](http://packages.gentoo.org/package/sci-libs/libcerf) by Christoph Junghans + * [Debian package](https://packages.debian.org/jessie/libs/libcerf1) by Eugen Wintersberger + * OS X: + * [MacPorts::libcerf](http://www.macports.org/ports.php?by=name&substr=libcerf), by Mojca Miklavec + * [Homebrew/homebrew-science/libcerf.rb](https://formulae.brew.sh/formula/libcerf), by Roman Garnett + +# Code structure + +The code consists of +- the library's C source (directory lib/), +- test code (directory test/), +- manual pages (directory man/), +- build utilities (aclocal.m4, build-aux/, config*, m4/, Makefile*). + +## Compilation + +The library libcerf is written in C. It can be compiled as C code (default) or as C++ code (with option -DCERF_CPP=ON). Compilation as C++ is useful especially under MS Windows because as per 2018 the C compiler of Visual Studio does not support C90, nor any newer language standard, and is unable to cope with complex numbers. + +Otherwise, the library is self-contained, and installation should be +straightforward, using the usual command sequence + + ./configure + make + sudo make install + +The command ./configure takes various options that are explained in the +file INSTALL. + +## Language bindings + +For use with other programming languages, libcerf should be either linked directly, or provided with a trivial wrapper. Such language bindings are added to the libcerf package as contributed by their authors. + +The following bindings are available: + * **fortran**, by Antonio Cervellino (Paul Scherrer Institut) + +Further contributions will be highly welcome. + +Please report bugs to the package maintainer. diff --git a/source/luametatex/source/libraries/libcerf/cerf.h b/source/luametatex/source/libraries/libcerf/cerf.h new file mode 100644 index 000000000..3c280b597 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/cerf.h @@ -0,0 +1,93 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File cerf.h: + * Declare exported functions. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Man pages: + * w_of_z(3), dawson(3), voigt(3), cerf(3), erfcx(3), erfi(3) + */ + + /* + + This file is patched by Mojca Miklavec and Hans Hagen for usage in LuaMetaTeX where we use + only C and also want to compile with the Microsoft compiler. So, when updating this library + one has to check for changes. Not that we expect many as this is a rather stable library. + + In the other files there are a few macros used that deal with the multiplication and addition + of complex and real numbers. Of course the original code is kept as-is. + + */ + +# ifndef __CERF_H +# define __CERF_H + +# include <complex.h> + +# if (_MSC_VER) + # define _cerf_cmplx _Dcomplex +# else + typedef double _Complex _cerf_cmplx; +# endif + +# define EXPORT + +extern _cerf_cmplx w_of_z (_cerf_cmplx z); /* compute w(z) = exp(-z^2) erfc(-iz), Faddeeva's scaled complex error function */ +extern double im_w_of_x (double x); /* special case Im[w(x)] of real x */ +extern double re_w_of_z (double x, double y); +extern double im_w_of_z (double x, double y); + +extern _cerf_cmplx cerf (_cerf_cmplx z); /* compute erf(z), the error function of complex arguments */ +extern _cerf_cmplx cerfc (_cerf_cmplx z); /* compute erfc(z) = 1 - erf(z), the complementary error function */ + +extern _cerf_cmplx cerfcx (_cerf_cmplx z); /* compute erfcx(z) = exp(z^2) erfc(z), an underflow-compensated version of erfc */ +extern double erfcx (double x); /* special case for real x */ + +extern _cerf_cmplx cerfi (_cerf_cmplx z); /* compute erfi(z) = -i erf(iz), the imaginary error function */ +extern double erfi (double x); /* special case for real x */ + +extern _cerf_cmplx cdawson (_cerf_cmplx z); /* compute dawson(z) = sqrt(pi)/2 * exp(-z^2) * erfi(z), Dawson's integral */ +extern double dawson (double x); /* special case for real x */ + +extern double voigt (double x, double sigma, double gamma); /* compute voigt(x,...), the convolution of a Gaussian and a Lorentzian */ +extern double voigt_hwhm (double sigma, double gamma, int *error); /* compute the full width at half maximum of the Voigt function */ + +extern double cerf_experimental_imw (double x, double y); +extern double cerf_experimental_rew (double x, double y); + +#endif diff --git a/source/luametatex/source/libraries/libcerf/defs.h b/source/luametatex/source/libraries/libcerf/defs.h new file mode 100644 index 000000000..8bc6e3af6 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/defs.h @@ -0,0 +1,97 @@ +/* Library libcerf: + * compute complex error functions, + * along with Dawson, Faddeeva and Voigt functions + * + * File defs.h: + * Language-dependent includes. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * MIT Licence. + * See ../COPYING + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + */ + +/* + + This file is patched by Mojca Miklavec and Hans Hagen for usage in LuaMetaTeX where we use + only C and also want to compile with the Microsoft compiler. So, when updating this library + one has to check for changes. Not that we expect many as this is a rather stable library. + + In the other files there are a few macros used that deal with the multiplication and addition + of complex and real nmbers. Of course the original code is kept as-is. + +*/ + +# ifndef __CERF_C_H +# define __CERF_C_H + +# define _GNU_SOURCE // enable GNU libc NAN extension if possible + +/* + Constructing complex numbers like 0+i*NaN is problematic in C99 + without the C11 CMPLX macro, because 0.+I*NAN may give NaN+i*NAN if + I is a complex (rather than imaginary) constant. For some reason, + however, it works fine in (pre-4.7) gcc if I define Inf and NaN as + 1/0 and 0/0 (and only if I compile with optimization -O1 or more), + but not if I use the INFINITY or NAN macros. +*/ + +/* + __builtin_complex was introduced in gcc 4.7, but the C11 CMPLX + macro may not be defined unless we are using a recent (2012) version + of glibc and compile with -std=c11... note that icc lies about being + gcc and probably doesn't have this builtin(?), so exclude icc + explicitly. +*/ + +# if (_MSC_VER) + # define C(a,b) _Cbuild((double)(a), (double)(b)) + # define Inf INFINITY + # define NaN NAN +# else + # define C(a,b) ((a) + I*(b)) + # define Inf (1./0.) + # define NaN (0./0.) +# endif + +# include <complex.h> + +# if (_MSC_VER) + + # define _cerf_cmplx _Dcomplex + + static _Dcomplex complex_neg (_Dcomplex x) { return _Cmulcr(x, -1.0); } + static _Dcomplex complex_add_cc(_Dcomplex x, _Dcomplex y) { return _Cbuild(creal(x) + creal(y), cimag(x) + cimag(y)); } + static _Dcomplex complex_add_rc(double x, _Dcomplex y) { return _Cbuild(x + creal(y), x + cimag(y)); } + static _Dcomplex complex_sub_cc(_Dcomplex x, _Dcomplex y) { return _Cbuild(creal(x) - creal(y), cimag(x) - cimag(y)); } + static _Dcomplex complex_sub_rc(double x, _Dcomplex y) { return _Cbuild(x - creal(y), x - cimag(y)); } + static _Dcomplex complex_mul_cc(_Dcomplex x, _Dcomplex y) { return _Cmulcc((y), (x)); } + static _Dcomplex complex_mul_rc(double x, _Dcomplex y) { return _Cmulcr((y), (x)); } + static _Dcomplex complex_mul_cr(_Dcomplex x, double y) { return _Cmulcr((x), (y)); } + +# else + + typedef double _Complex _cerf_cmplx; + + # define complex_neg(x) (-x) + # define complex_add_cc(x,y) (x+y) + # define complex_add_rc(x,y) (x+y) + # define complex_sub_cc(x,y) (x-y) + # define complex_sub_rc(x,y) (x-y) + # define complex_mul_cc(x,y) (x*y) + # define complex_mul_rc(x,y) (x*y) + # define complex_mul_cr(x,y) (x*y) + +# endif + +# endif diff --git a/source/luametatex/source/libraries/libcerf/erfcx.c b/source/luametatex/source/libraries/libcerf/erfcx.c new file mode 100644 index 000000000..259ef911a --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/erfcx.c @@ -0,0 +1,528 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File erfcx.c: + * Compute erfcx(x) = exp(x^2) erfc(x) function, for real x, + * using a novel algorithm that is much faster than DERFC of SLATEC. + * This function is used in the computation of Faddeeva, Dawson, and + * other complex error functions. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Manual page: + * man 3 erfcx + */ + +#include "cerf.h" +#include <math.h> +#include "defs.h" // defines _cerf_cmplx, NaN, C, cexp, ... + +/******************************************************************************/ +/* Lookup-table for Chebyshev polynomials for smaller |x| */ +/******************************************************************************/ + +static double erfcx_y100(double y100) +{ + // Steven G. Johnson, October 2012. + + // Given y100=100*y, where y = 4/(4+x) for x >= 0, compute erfc(x). + + // Uses a look-up table of 100 different Chebyshev polynomials + // for y intervals [0,0.01], [0.01,0.02], ...., [0.99,1], generated + // with the help of Maple and a little shell script. This allows + // the Chebyshev polynomials to be of significantly lower degree (about 1/4) + // compared to fitting the whole [0,1] interval with a single polynomial. + + switch ((int) y100) { + case 0: { + double t = 2*y100 - 1; + return 0.70878032454106438663e-3 + (0.71234091047026302958e-3 + (0.35779077297597742384e-5 + (0.17403143962587937815e-7 + (0.81710660047307788845e-10 + (0.36885022360434957634e-12 + 0.15917038551111111111e-14 * t) * t) * t) * t) * t) * t; + } + case 1: { + double t = 2*y100 - 3; + return 0.21479143208285144230e-2 + (0.72686402367379996033e-3 + (0.36843175430938995552e-5 + (0.18071841272149201685e-7 + (0.85496449296040325555e-10 + (0.38852037518534291510e-12 + 0.16868473576888888889e-14 * t) * t) * t) * t) * t) * t; + } + case 2: { + double t = 2*y100 - 5; + return 0.36165255935630175090e-2 + (0.74182092323555510862e-3 + (0.37948319957528242260e-5 + (0.18771627021793087350e-7 + (0.89484715122415089123e-10 + (0.40935858517772440862e-12 + 0.17872061464888888889e-14 * t) * t) * t) * t) * t) * t; + } + case 3: { + double t = 2*y100 - 7; + return 0.51154983860031979264e-2 + (0.75722840734791660540e-3 + (0.39096425726735703941e-5 + (0.19504168704300468210e-7 + (0.93687503063178993915e-10 + (0.43143925959079664747e-12 + 0.18939926435555555556e-14 * t) * t) * t) * t) * t) * t; + } + case 4: { + double t = 2*y100 - 9; + return 0.66457513172673049824e-2 + (0.77310406054447454920e-3 + (0.40289510589399439385e-5 + (0.20271233238288381092e-7 + (0.98117631321709100264e-10 + (0.45484207406017752971e-12 + 0.20076352213333333333e-14 * t) * t) * t) * t) * t) * t; + } + case 5: { + double t = 2*y100 - 11; + return 0.82082389970241207883e-2 + (0.78946629611881710721e-3 + (0.41529701552622656574e-5 + (0.21074693344544655714e-7 + (0.10278874108587317989e-9 + (0.47965201390613339638e-12 + 0.21285907413333333333e-14 * t) * t) * t) * t) * t) * t; + } + case 6: { + double t = 2*y100 - 13; + return 0.98039537275352193165e-2 + (0.80633440108342840956e-3 + (0.42819241329736982942e-5 + (0.21916534346907168612e-7 + (0.10771535136565470914e-9 + (0.50595972623692822410e-12 + 0.22573462684444444444e-14 * t) * t) * t) * t) * t) * t; + } + case 7: { + double t = 2*y100 - 15; + return 0.11433927298290302370e-1 + (0.82372858383196561209e-3 + (0.44160495311765438816e-5 + (0.22798861426211986056e-7 + (0.11291291745879239736e-9 + (0.53386189365816880454e-12 + 0.23944209546666666667e-14 * t) * t) * t) * t) * t) * t; + } + case 8: { + double t = 2*y100 - 17; + return 0.13099232878814653979e-1 + (0.84167002467906968214e-3 + (0.45555958988457506002e-5 + (0.23723907357214175198e-7 + (0.11839789326602695603e-9 + (0.56346163067550237877e-12 + 0.25403679644444444444e-14 * t) * t) * t) * t) * t) * t; + } + case 9: { + double t = 2*y100 - 19; + return 0.14800987015587535621e-1 + (0.86018092946345943214e-3 + (0.47008265848816866105e-5 + (0.24694040760197315333e-7 + (0.12418779768752299093e-9 + (0.59486890370320261949e-12 + 0.26957764568888888889e-14 * t) * t) * t) * t) * t) * t; + } + case 10: { + double t = 2*y100 - 21; + return 0.16540351739394069380e-1 + (0.87928458641241463952e-3 + (0.48520195793001753903e-5 + (0.25711774900881709176e-7 + (0.13030128534230822419e-9 + (0.62820097586874779402e-12 + 0.28612737351111111111e-14 * t) * t) * t) * t) * t) * t; + } + case 11: { + double t = 2*y100 - 23; + return 0.18318536789842392647e-1 + (0.89900542647891721692e-3 + (0.50094684089553365810e-5 + (0.26779777074218070482e-7 + (0.13675822186304615566e-9 + (0.66358287745352705725e-12 + 0.30375273884444444444e-14 * t) * t) * t) * t) * t) * t; + } + case 12: { + double t = 2*y100 - 25; + return 0.20136801964214276775e-1 + (0.91936908737673676012e-3 + (0.51734830914104276820e-5 + (0.27900878609710432673e-7 + (0.14357976402809042257e-9 + (0.70114790311043728387e-12 + 0.32252476000000000000e-14 * t) * t) * t) * t) * t) * t; + } + case 13: { + double t = 2*y100 - 27; + return 0.21996459598282740954e-1 + (0.94040248155366777784e-3 + (0.53443911508041164739e-5 + (0.29078085538049374673e-7 + (0.15078844500329731137e-9 + (0.74103813647499204269e-12 + 0.34251892320000000000e-14 * t) * t) * t) * t) * t) * t; + } + case 14: { + double t = 2*y100 - 29; + return 0.23898877187226319502e-1 + (0.96213386835900177540e-3 + (0.55225386998049012752e-5 + (0.30314589961047687059e-7 + (0.15840826497296335264e-9 + (0.78340500472414454395e-12 + 0.36381553564444444445e-14 * t) * t) * t) * t) * t) * t; + } + case 15: { + double t = 2*y100 - 31; + return 0.25845480155298518485e-1 + (0.98459293067820123389e-3 + (0.57082915920051843672e-5 + (0.31613782169164830118e-7 + (0.16646478745529630813e-9 + (0.82840985928785407942e-12 + 0.38649975768888888890e-14 * t) * t) * t) * t) * t) * t; + } + case 16: { + double t = 2*y100 - 33; + return 0.27837754783474696598e-1 + (0.10078108563256892757e-2 + (0.59020366493792212221e-5 + (0.32979263553246520417e-7 + (0.17498524159268458073e-9 + (0.87622459124842525110e-12 + 0.41066206488888888890e-14 * t) * t) * t) * t) * t) * t; + } + case 17: { + double t = 2*y100 - 35; + return 0.29877251304899307550e-1 + (0.10318204245057349310e-2 + (0.61041829697162055093e-5 + (0.34414860359542720579e-7 + (0.18399863072934089607e-9 + (0.92703227366365046533e-12 + 0.43639844053333333334e-14 * t) * t) * t) * t) * t) * t; + } + case 18: { + double t = 2*y100 - 37; + return 0.31965587178596443475e-1 + (0.10566560976716574401e-2 + (0.63151633192414586770e-5 + (0.35924638339521924242e-7 + (0.19353584758781174038e-9 + (0.98102783859889264382e-12 + 0.46381060817777777779e-14 * t) * t) * t) * t) * t) * t; + } + case 19: { + double t = 2*y100 - 39; + return 0.34104450552588334840e-1 + (0.10823541191350532574e-2 + (0.65354356159553934436e-5 + (0.37512918348533521149e-7 + (0.20362979635817883229e-9 + (0.10384187833037282363e-11 + 0.49300625262222222221e-14 * t) * t) * t) * t) * t) * t; + } + case 20: { + double t = 2*y100 - 41; + return 0.36295603928292425716e-1 + (0.11089526167995268200e-2 + (0.67654845095518363577e-5 + (0.39184292949913591646e-7 + (0.21431552202133775150e-9 + (0.10994259106646731797e-11 + 0.52409949102222222221e-14 * t) * t) * t) * t) * t) * t; + } + case 21: { + double t = 2*y100 - 43; + return 0.38540888038840509795e-1 + (0.11364917134175420009e-2 + (0.70058230641246312003e-5 + (0.40943644083718586939e-7 + (0.22563034723692881631e-9 + (0.11642841011361992885e-11 + 0.55721092871111111110e-14 * t) * t) * t) * t) * t) * t; + } + case 22: { + double t = 2*y100 - 45; + return 0.40842225954785960651e-1 + (0.11650136437945673891e-2 + (0.72569945502343006619e-5 + (0.42796161861855042273e-7 + (0.23761401711005024162e-9 + (0.12332431172381557035e-11 + 0.59246802364444444445e-14 * t) * t) * t) * t) * t) * t; + } + case 23: { + double t = 2*y100 - 47; + return 0.43201627431540222422e-1 + (0.11945628793917272199e-2 + (0.75195743532849206263e-5 + (0.44747364553960993492e-7 + (0.25030885216472953674e-9 + (0.13065684400300476484e-11 + 0.63000532853333333334e-14 * t) * t) * t) * t) * t) * t; + } + case 24: { + double t = 2*y100 - 49; + return 0.45621193513810471438e-1 + (0.12251862608067529503e-2 + (0.77941720055551920319e-5 + (0.46803119830954460212e-7 + (0.26375990983978426273e-9 + (0.13845421370977119765e-11 + 0.66996477404444444445e-14 * t) * t) * t) * t) * t) * t; + } + case 25: { + double t = 2*y100 - 51; + return 0.48103121413299865517e-1 + (0.12569331386432195113e-2 + (0.80814333496367673980e-5 + (0.48969667335682018324e-7 + (0.27801515481905748484e-9 + (0.14674637611609884208e-11 + 0.71249589351111111110e-14 * t) * t) * t) * t) * t) * t; + } + case 26: { + double t = 2*y100 - 53; + return 0.50649709676983338501e-1 + (0.12898555233099055810e-2 + (0.83820428414568799654e-5 + (0.51253642652551838659e-7 + (0.29312563849675507232e-9 + (0.15556512782814827846e-11 + 0.75775607822222222221e-14 * t) * t) * t) * t) * t) * t; + } + case 27: { + double t = 2*y100 - 55; + return 0.53263363664388864181e-1 + (0.13240082443256975769e-2 + (0.86967260015007658418e-5 + (0.53662102750396795566e-7 + (0.30914568786634796807e-9 + (0.16494420240828493176e-11 + 0.80591079644444444445e-14 * t) * t) * t) * t) * t) * t; + } + case 28: { + double t = 2*y100 - 57; + return 0.55946601353500013794e-1 + (0.13594491197408190706e-2 + (0.90262520233016380987e-5 + (0.56202552975056695376e-7 + (0.32613310410503135996e-9 + (0.17491936862246367398e-11 + 0.85713381688888888890e-14 * t) * t) * t) * t) * t) * t; + } + case 29: { + double t = 2*y100 - 59; + return 0.58702059496154081813e-1 + (0.13962391363223647892e-2 + (0.93714365487312784270e-5 + (0.58882975670265286526e-7 + (0.34414937110591753387e-9 + (0.18552853109751857859e-11 + 0.91160736711111111110e-14 * t) * t) * t) * t) * t) * t; + } + case 30: { + double t = 2*y100 - 61; + return 0.61532500145144778048e-1 + (0.14344426411912015247e-2 + (0.97331446201016809696e-5 + (0.61711860507347175097e-7 + (0.36325987418295300221e-9 + (0.19681183310134518232e-11 + 0.96952238400000000000e-14 * t) * t) * t) * t) * t) * t; + } + case 31: { + double t = 2*y100 - 63; + return 0.64440817576653297993e-1 + (0.14741275456383131151e-2 + (0.10112293819576437838e-4 + (0.64698236605933246196e-7 + (0.38353412915303665586e-9 + (0.20881176114385120186e-11 + 0.10310784480000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 32: { + double t = 2*y100 - 65; + return 0.67430045633130393282e-1 + (0.15153655418916540370e-2 + (0.10509857606888328667e-4 + (0.67851706529363332855e-7 + (0.40504602194811140006e-9 + (0.22157325110542534469e-11 + 0.10964842115555555556e-13 * t) * t) * t) * t) * t) * t; + } + case 33: { + double t = 2*y100 - 67; + return 0.70503365513338850709e-1 + (0.15582323336495709827e-2 + (0.10926868866865231089e-4 + (0.71182482239613507542e-7 + (0.42787405890153386710e-9 + (0.23514379522274416437e-11 + 0.11659571751111111111e-13 * t) * t) * t) * t) * t) * t; + } + case 34: { + double t = 2*y100 - 69; + return 0.73664114037944596353e-1 + (0.16028078812438820413e-2 + (0.11364423678778207991e-4 + (0.74701423097423182009e-7 + (0.45210162777476488324e-9 + (0.24957355004088569134e-11 + 0.12397238257777777778e-13 * t) * t) * t) * t) * t) * t; + } + case 35: { + double t = 2*y100 - 71; + return 0.76915792420819562379e-1 + (0.16491766623447889354e-2 + (0.11823685320041302169e-4 + (0.78420075993781544386e-7 + (0.47781726956916478925e-9 + (0.26491544403815724749e-11 + 0.13180196462222222222e-13 * t) * t) * t) * t) * t) * t; + } + case 36: { + double t = 2*y100 - 73; + return 0.80262075578094612819e-1 + (0.16974279491709504117e-2 + (0.12305888517309891674e-4 + (0.82350717698979042290e-7 + (0.50511496109857113929e-9 + (0.28122528497626897696e-11 + 0.14010889635555555556e-13 * t) * t) * t) * t) * t) * t; + } + case 37: { + double t = 2*y100 - 75; + return 0.83706822008980357446e-1 + (0.17476561032212656962e-2 + (0.12812343958540763368e-4 + (0.86506399515036435592e-7 + (0.53409440823869467453e-9 + (0.29856186620887555043e-11 + 0.14891851591111111111e-13 * t) * t) * t) * t) * t) * t; + } + case 38: { + double t = 2*y100 - 77; + return 0.87254084284461718231e-1 + (0.17999608886001962327e-2 + (0.13344443080089492218e-4 + (0.90900994316429008631e-7 + (0.56486134972616465316e-9 + (0.31698707080033956934e-11 + 0.15825697795555555556e-13 * t) * t) * t) * t) * t) * t; + } + case 39: { + double t = 2*y100 - 79; + return 0.90908120182172748487e-1 + (0.18544478050657699758e-2 + (0.13903663143426120077e-4 + (0.95549246062549906177e-7 + (0.59752787125242054315e-9 + (0.33656597366099099413e-11 + 0.16815130613333333333e-13 * t) * t) * t) * t) * t) * t; + } + case 40: { + double t = 2*y100 - 81; + return 0.94673404508075481121e-1 + (0.19112284419887303347e-2 + (0.14491572616545004930e-4 + (0.10046682186333613697e-6 + (0.63221272959791000515e-9 + (0.35736693975589130818e-11 + 0.17862931591111111111e-13 * t) * t) * t) * t) * t) * t; + } + case 41: { + double t = 2*y100 - 83; + return 0.98554641648004456555e-1 + (0.19704208544725622126e-2 + (0.15109836875625443935e-4 + (0.10567036667675984067e-6 + (0.66904168640019354565e-9 + (0.37946171850824333014e-11 + 0.18971959040000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 42: { + double t = 2*y100 - 85; + return 0.10255677889470089531e0 + (0.20321499629472857418e-2 + (0.15760224242962179564e-4 + (0.11117756071353507391e-6 + (0.70814785110097658502e-9 + (0.40292553276632563925e-11 + 0.20145143075555555556e-13 * t) * t) * t) * t) * t) * t; + } + case 43: { + double t = 2*y100 - 87; + return 0.10668502059865093318e0 + (0.20965479776148731610e-2 + (0.16444612377624983565e-4 + (0.11700717962026152749e-6 + (0.74967203250938418991e-9 + (0.42783716186085922176e-11 + 0.21385479360000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 44: { + double t = 2*y100 - 89; + return 0.11094484319386444474e0 + (0.21637548491908170841e-2 + (0.17164995035719657111e-4 + (0.12317915750735938089e-6 + (0.79376309831499633734e-9 + (0.45427901763106353914e-11 + 0.22696025653333333333e-13 * t) * t) * t) * t) * t) * t; + } + case 45: { + double t = 2*y100 - 91; + return 0.11534201115268804714e0 + (0.22339187474546420375e-2 + (0.17923489217504226813e-4 + (0.12971465288245997681e-6 + (0.84057834180389073587e-9 + (0.48233721206418027227e-11 + 0.24079890062222222222e-13 * t) * t) * t) * t) * t) * t; + } + case 46: { + double t = 2*y100 - 93; + return 0.11988259392684094740e0 + (0.23071965691918689601e-2 + (0.18722342718958935446e-4 + (0.13663611754337957520e-6 + (0.89028385488493287005e-9 + (0.51210161569225846701e-11 + 0.25540227111111111111e-13 * t) * t) * t) * t) * t) * t; + } + case 47: { + double t = 2*y100 - 95; + return 0.12457298393509812907e0 + (0.23837544771809575380e-2 + (0.19563942105711612475e-4 + (0.14396736847739470782e-6 + (0.94305490646459247016e-9 + (0.54366590583134218096e-11 + 0.27080225920000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 48: { + double t = 2*y100 - 97; + return 0.12941991566142438816e0 + (0.24637684719508859484e-2 + (0.20450821127475879816e-4 + (0.15173366280523906622e-6 + (0.99907632506389027739e-9 + (0.57712760311351625221e-11 + 0.28703099555555555556e-13 * t) * t) * t) * t) * t) * t; + } + case 49: { + double t = 2*y100 - 99; + return 0.13443048593088696613e0 + (0.25474249981080823877e-2 + (0.21385669591362915223e-4 + (0.15996177579900443030e-6 + (0.10585428844575134013e-8 + (0.61258809536787882989e-11 + 0.30412080142222222222e-13 * t) * t) * t) * t) * t) * t; + } + case 50: { + double t = 2*y100 - 101; + return 0.13961217543434561353e0 + (0.26349215871051761416e-2 + (0.22371342712572567744e-4 + (0.16868008199296822247e-6 + (0.11216596910444996246e-8 + (0.65015264753090890662e-11 + 0.32210394506666666666e-13 * t) * t) * t) * t) * t) * t; + } + case 51: { + double t = 2*y100 - 103; + return 0.14497287157673800690e0 + (0.27264675383982439814e-2 + (0.23410870961050950197e-4 + (0.17791863939526376477e-6 + (0.11886425714330958106e-8 + (0.68993039665054288034e-11 + 0.34101266222222222221e-13 * t) * t) * t) * t) * t) * t; + } + case 52: { + double t = 2*y100 - 105; + return 0.15052089272774618151e0 + (0.28222846410136238008e-2 + (0.24507470422713397006e-4 + (0.18770927679626136909e-6 + (0.12597184587583370712e-8 + (0.73203433049229821618e-11 + 0.36087889048888888890e-13 * t) * t) * t) * t) * t) * t; + } + case 53: { + double t = 2*y100 - 107; + return 0.15626501395774612325e0 + (0.29226079376196624949e-2 + (0.25664553693768450545e-4 + (0.19808568415654461964e-6 + (0.13351257759815557897e-8 + (0.77658124891046760667e-11 + 0.38173420035555555555e-13 * t) * t) * t) * t) * t) * t; + } + case 54: { + double t = 2*y100 - 109; + return 0.16221449434620737567e0 + (0.30276865332726475672e-2 + (0.26885741326534564336e-4 + (0.20908350604346384143e-6 + (0.14151148144240728728e-8 + (0.82369170665974313027e-11 + 0.40360957457777777779e-13 * t) * t) * t) * t) * t) * t; + } + case 55: { + double t = 2*y100 - 111; + return 0.16837910595412130659e0 + (0.31377844510793082301e-2 + (0.28174873844911175026e-4 + (0.22074043807045782387e-6 + (0.14999481055996090039e-8 + (0.87348993661930809254e-11 + 0.42653528977777777779e-13 * t) * t) * t) * t) * t) * t; + } + case 56: { + double t = 2*y100 - 113; + return 0.17476916455659369953e0 + (0.32531815370903068316e-2 + (0.29536024347344364074e-4 + (0.23309632627767074202e-6 + (0.15899007843582444846e-8 + (0.92610375235427359475e-11 + 0.45054073102222222221e-13 * t) * t) * t) * t) * t) * t; + } + case 57: { + double t = 2*y100 - 115; + return 0.18139556223643701364e0 + (0.33741744168096996041e-2 + (0.30973511714709500836e-4 + (0.24619326937592290996e-6 + (0.16852609412267750744e-8 + (0.98166442942854895573e-11 + 0.47565418097777777779e-13 * t) * t) * t) * t) * t) * t; + } + case 58: { + double t = 2*y100 - 117; + return 0.18826980194443664549e0 + (0.35010775057740317997e-2 + (0.32491914440014267480e-4 + (0.26007572375886319028e-6 + (0.17863299617388376116e-8 + (0.10403065638343878679e-10 + 0.50190265831111111110e-13 * t) * t) * t) * t) * t) * t; + } + case 59: { + double t = 2*y100 - 119; + return 0.19540403413693967350e0 + (0.36342240767211326315e-2 + (0.34096085096200907289e-4 + (0.27479061117017637474e-6 + (0.18934228504790032826e-8 + (0.11021679075323598664e-10 + 0.52931171733333333334e-13 * t) * t) * t) * t) * t) * t; + } + case 60: { + double t = 2*y100 - 121; + return 0.20281109560651886959e0 + (0.37739673859323597060e-2 + (0.35791165457592409054e-4 + (0.29038742889416172404e-6 + (0.20068685374849001770e-8 + (0.11673891799578381999e-10 + 0.55790523093333333334e-13 * t) * t) * t) * t) * t) * t; + } + case 61: { + double t = 2*y100 - 123; + return 0.21050455062669334978e0 + (0.39206818613925652425e-2 + (0.37582602289680101704e-4 + (0.30691836231886877385e-6 + (0.21270101645763677824e-8 + (0.12361138551062899455e-10 + 0.58770520160000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 62: { + double t = 2*y100 - 125; + return 0.21849873453703332479e0 + (0.40747643554689586041e-2 + (0.39476163820986711501e-4 + (0.32443839970139918836e-6 + (0.22542053491518680200e-8 + (0.13084879235290858490e-10 + 0.61873153262222222221e-13 * t) * t) * t) * t) * t) * t; + } + case 63: { + double t = 2*y100 - 127; + return 0.22680879990043229327e0 + (0.42366354648628516935e-2 + (0.41477956909656896779e-4 + (0.34300544894502810002e-6 + (0.23888264229264067658e-8 + (0.13846596292818514601e-10 + 0.65100183751111111110e-13 * t) * t) * t) * t) * t) * t; + } + case 64: { + double t = 2*y100 - 129; + return 0.23545076536988703937e0 + (0.44067409206365170888e-2 + (0.43594444916224700881e-4 + (0.36268045617760415178e-6 + (0.25312606430853202748e-8 + (0.14647791812837903061e-10 + 0.68453122631111111110e-13 * t) * t) * t) * t) * t) * t; + } + case 65: { + double t = 2*y100 - 131; + return 0.24444156740777432838e0 + (0.45855530511605787178e-2 + (0.45832466292683085475e-4 + (0.38352752590033030472e-6 + (0.26819103733055603460e-8 + (0.15489984390884756993e-10 + 0.71933206364444444445e-13 * t) * t) * t) * t) * t) * t; + } + case 66: { + double t = 2*y100 - 133; + return 0.25379911500634264643e0 + (0.47735723208650032167e-2 + (0.48199253896534185372e-4 + (0.40561404245564732314e-6 + (0.28411932320871165585e-8 + (0.16374705736458320149e-10 + 0.75541379822222222221e-13 * t) * t) * t) * t) * t) * t; + } + case 67: { + double t = 2*y100 - 135; + return 0.26354234756393613032e0 + (0.49713289477083781266e-2 + (0.50702455036930367504e-4 + (0.42901079254268185722e-6 + (0.30095422058900481753e-8 + (0.17303497025347342498e-10 + 0.79278273368888888890e-13 * t) * t) * t) * t) * t) * t; + } + case 68: { + double t = 2*y100 - 137; + return 0.27369129607732343398e0 + (0.51793846023052643767e-2 + (0.53350152258326602629e-4 + (0.45379208848865015485e-6 + (0.31874057245814381257e-8 + (0.18277905010245111046e-10 + 0.83144182364444444445e-13 * t) * t) * t) * t) * t) * t; + } + case 69: { + double t = 2*y100 - 139; + return 0.28426714781640316172e0 + (0.53983341916695141966e-2 + (0.56150884865255810638e-4 + (0.48003589196494734238e-6 + (0.33752476967570796349e-8 + (0.19299477888083469086e-10 + 0.87139049137777777779e-13 * t) * t) * t) * t) * t) * t; + } + case 70: { + double t = 2*y100 - 141; + return 0.29529231465348519920e0 + (0.56288077305420795663e-2 + (0.59113671189913307427e-4 + (0.50782393781744840482e-6 + (0.35735475025851713168e-8 + (0.20369760937017070382e-10 + 0.91262442613333333334e-13 * t) * t) * t) * t) * t) * t; + } + case 71: { + double t = 2*y100 - 143; + return 0.30679050522528838613e0 + (0.58714723032745403331e-2 + (0.62248031602197686791e-4 + (0.53724185766200945789e-6 + (0.37827999418960232678e-8 + (0.21490291930444538307e-10 + 0.95513539182222222221e-13 * t) * t) * t) * t) * t) * t; + } + case 72: { + double t = 2*y100 - 145; + return 0.31878680111173319425e0 + (0.61270341192339103514e-2 + (0.65564012259707640976e-4 + (0.56837930287837738996e-6 + (0.40035151353392378882e-8 + (0.22662596341239294792e-10 + 0.99891109760000000000e-13 * t) * t) * t) * t) * t) * t; + } + case 73: { + double t = 2*y100 - 147; + return 0.33130773722152622027e0 + (0.63962406646798080903e-2 + (0.69072209592942396666e-4 + (0.60133006661885941812e-6 + (0.42362183765883466691e-8 + (0.23888182347073698382e-10 + 0.10439349811555555556e-12 * t) * t) * t) * t) * t) * t; + } + case 74: { + double t = 2*y100 - 149; + return 0.34438138658041336523e0 + (0.66798829540414007258e-2 + (0.72783795518603561144e-4 + (0.63619220443228800680e-6 + (0.44814499336514453364e-8 + (0.25168535651285475274e-10 + 0.10901861383111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 75: { + double t = 2*y100 - 151; + return 0.35803744972380175583e0 + (0.69787978834882685031e-2 + (0.76710543371454822497e-4 + (0.67306815308917386747e-6 + (0.47397647975845228205e-8 + (0.26505114141143050509e-10 + 0.11376390933333333333e-12 * t) * t) * t) * t) * t) * t; + } + case 76: { + double t = 2*y100 - 153; + return 0.37230734890119724188e0 + (0.72938706896461381003e-2 + (0.80864854542670714092e-4 + (0.71206484718062688779e-6 + (0.50117323769745883805e-8 + (0.27899342394100074165e-10 + 0.11862637614222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 77: { + double t = 2*y100 - 155; + return 0.38722432730555448223e0 + (0.76260375162549802745e-2 + (0.85259785810004603848e-4 + (0.75329383305171327677e-6 + (0.52979361368388119355e-8 + (0.29352606054164086709e-10 + 0.12360253370666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 78: { + double t = 2*y100 - 157; + return 0.40282355354616940667e0 + (0.79762880915029728079e-2 + (0.89909077342438246452e-4 + (0.79687137961956194579e-6 + (0.55989731807360403195e-8 + (0.30866246101464869050e-10 + 0.12868841946666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 79: { + double t = 2*y100 - 159; + return 0.41914223158913787649e0 + (0.83456685186950463538e-2 + (0.94827181359250161335e-4 + (0.84291858561783141014e-6 + (0.59154537751083485684e-8 + (0.32441553034347469291e-10 + 0.13387957943111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 80: { + double t = 2*y100 - 161; + return 0.43621971639463786896e0 + (0.87352841828289495773e-2 + (0.10002929142066799966e-3 + (0.89156148280219880024e-6 + (0.62480008150788597147e-8 + (0.34079760983458878910e-10 + 0.13917107176888888889e-12 * t) * t) * t) * t) * t) * t; + } + case 81: { + double t = 2*y100 - 163; + return 0.45409763548534330981e0 + (0.91463027755548240654e-2 + (0.10553137232446167258e-3 + (0.94293113464638623798e-6 + (0.65972492312219959885e-8 + (0.35782041795476563662e-10 + 0.14455745872000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 82: { + double t = 2*y100 - 165; + return 0.47282001668512331468e0 + (0.95799574408860463394e-2 + (0.11135019058000067469e-3 + (0.99716373005509038080e-6 + (0.69638453369956970347e-8 + (0.37549499088161345850e-10 + 0.15003280712888888889e-12 * t) * t) * t) * t) * t) * t; + } + case 83: { + double t = 2*y100 - 167; + return 0.49243342227179841649e0 + (0.10037550043909497071e-1 + (0.11750334542845234952e-3 + (0.10544006716188967172e-5 + (0.73484461168242224872e-8 + (0.39383162326435752965e-10 + 0.15559069118222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 84: { + double t = 2*y100 - 169; + return 0.51298708979209258326e0 + (0.10520454564612427224e-1 + (0.12400930037494996655e-3 + (0.11147886579371265246e-5 + (0.77517184550568711454e-8 + (0.41283980931872622611e-10 + 0.16122419680000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 85: { + double t = 2*y100 - 171; + return 0.53453307979101369843e0 + (0.11030120618800726938e-1 + (0.13088741519572269581e-3 + (0.11784797595374515432e-5 + (0.81743383063044825400e-8 + (0.43252818449517081051e-10 + 0.16692592640000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 86: { + double t = 2*y100 - 173; + return 0.55712643071169299478e0 + (0.11568077107929735233e-1 + (0.13815797838036651289e-3 + (0.12456314879260904558e-5 + (0.86169898078969313597e-8 + (0.45290446811539652525e-10 + 0.17268801084444444444e-12 * t) * t) * t) * t) * t) * t; + } + case 87: { + double t = 2*y100 - 175; + return 0.58082532122519320968e0 + (0.12135935999503877077e-1 + (0.14584223996665838559e-3 + (0.13164068573095710742e-5 + (0.90803643355106020163e-8 + (0.47397540713124619155e-10 + 0.17850211608888888889e-12 * t) * t) * t) * t) * t) * t; + } + case 88: { + double t = 2*y100 - 177; + return 0.60569124025293375554e0 + (0.12735396239525550361e-1 + (0.15396244472258863344e-3 + (0.13909744385382818253e-5 + (0.95651595032306228245e-8 + (0.49574672127669041550e-10 + 0.18435945564444444444e-12 * t) * t) * t) * t) * t) * t; + } + case 89: { + double t = 2*y100 - 179; + return 0.63178916494715716894e0 + (0.13368247798287030927e-1 + (0.16254186562762076141e-3 + (0.14695084048334056083e-5 + (0.10072078109604152350e-7 + (0.51822304995680707483e-10 + 0.19025081422222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 90: { + double t = 2*y100 - 181; + return 0.65918774689725319200e0 + (0.14036375850601992063e-1 + (0.17160483760259706354e-3 + (0.15521885688723188371e-5 + (0.10601827031535280590e-7 + (0.54140790105837520499e-10 + 0.19616655146666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 91: { + double t = 2*y100 - 183; + return 0.68795950683174433822e0 + (0.14741765091365869084e-1 + (0.18117679143520433835e-3 + (0.16392004108230585213e-5 + (0.11155116068018043001e-7 + (0.56530360194925690374e-10 + 0.20209663662222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 92: { + double t = 2*y100 - 185; + return 0.71818103808729967036e0 + (0.15486504187117112279e-1 + (0.19128428784550923217e-3 + (0.17307350969359975848e-5 + (0.11732656736113607751e-7 + (0.58991125287563833603e-10 + 0.20803065333333333333e-12 * t) * t) * t) * t) * t) * t; + } + case 93: { + double t = 2*y100 - 187; + return 0.74993321911726254661e0 + (0.16272790364044783382e-1 + (0.20195505163377912645e-3 + (0.18269894883203346953e-5 + (0.12335161021630225535e-7 + (0.61523068312169087227e-10 + 0.21395783431111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 94: { + double t = 2*y100 - 189; + return 0.78330143531283492729e0 + (0.17102934132652429240e-1 + (0.21321800585063327041e-3 + (0.19281661395543913713e-5 + (0.12963340087354341574e-7 + (0.64126040998066348872e-10 + 0.21986708942222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 95: { + double t = 2*y100 - 191; + return 0.81837581041023811832e0 + (0.17979364149044223802e-1 + (0.22510330592753129006e-3 + (0.20344732868018175389e-5 + (0.13617902941839949718e-7 + (0.66799760083972474642e-10 + 0.22574701262222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 96: { + double t = 2*y100 - 193; + return 0.85525144775685126237e0 + (0.18904632212547561026e-1 + (0.23764237370371255638e-3 + (0.21461248251306387979e-5 + (0.14299555071870523786e-7 + (0.69543803864694171934e-10 + 0.23158593688888888889e-12 * t) * t) * t) * t) * t) * t; + } + case 97: { + double t = 2*y100 - 195; + return 0.89402868170849933734e0 + (0.19881418399127202569e-1 + (0.25086793128395995798e-3 + (0.22633402747585233180e-5 + (0.15008997042116532283e-7 + (0.72357609075043941261e-10 + 0.23737194737777777778e-12 * t) * t) * t) * t) * t) * t; + } + case 98: { + double t = 2*y100 - 197; + return 0.93481333942870796363e0 + (0.20912536329780368893e-1 + (0.26481403465998477969e-3 + (0.23863447359754921676e-5 + (0.15746923065472184451e-7 + (0.75240468141720143653e-10 + 0.24309291271111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 99: { + double t = 2*y100 - 199; + return 0.97771701335885035464e0 + (0.22000938572830479551e-1 + (0.27951610702682383001e-3 + (0.25153688325245314530e-5 + (0.16514019547822821453e-7 + (0.78191526829368231251e-10 + 0.24873652355555555556e-12 * t) * t) * t) * t) * t) * t; + } + } + // we only get here if y = 1, i.e. |x| < 4*eps, in which case + // erfcx is within 1e-15 of 1.. + return 1.0; +} // erfcx_y100 + +/******************************************************************************/ +/* Library function erfcx */ +/******************************************************************************/ + +double erfcx(double x) +{ + // Steven G. Johnson, October 2012. + + // This function combines a few different ideas. + + // First, for x > 50, it uses a continued-fraction expansion (same as + // for the Faddeeva function, but with algebraic simplifications for z=i*x). + + // Second, for 0 <= x <= 50, it uses Chebyshev polynomial approximations, + // but with two twists: + // + // a) It maps x to y = 4 / (4+x) in [0,1]. This simple transformation, + // inspired by a similar transformation in the octave-forge/specfun + // erfcx by Soren Hauberg, results in much faster Chebyshev convergence + // than other simple transformations I have examined. + // + // b) Instead of using a single Chebyshev polynomial for the entire + // [0,1] y interval, we break the interval up into 100 equal + // subintervals, with a switch/lookup table, and use much lower + // degree Chebyshev polynomials in each subinterval. This greatly + // improves performance in my tests. + // + // For x < 0, we use the relationship erfcx(-x) = 2 exp(x^2) - erfc(x), + // with the usual checks for overflow etcetera. + + // Performance-wise, it seems to be substantially faster than either + // the SLATEC DERFC function [or an erfcx function derived therefrom] + // or Cody's CALERF function (from netlib.org/specfun), while + // retaining near machine precision in accuracy. + + if (x >= 0) { + if (x > 50) { + // continued-fraction expansion is faster + const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi) + if (x > 5e7) { + // 1-term expansion, important to avoid overflow */ + return ispi / x; + } else { + // 5-term expansion (rely on compiler for CSE), simplified from: ispi / (x+0.5/(x+1/(x+1.5/(x+2/x)))) + return ispi * ((x*x) * (x*x+4.5) + 2) / (x * ((x*x) * (x*x+5) + 3.75)); + } + } + return erfcx_y100(400/(4+x)); + } else { + return x < -26.7 ? HUGE_VAL : (x < -6.1 ? 2*exp(x*x) : 2*exp(x*x) - erfcx_y100(400/(4-x))); + } + +} // erfcx diff --git a/source/luametatex/source/libraries/libcerf/err_fcts.c b/source/luametatex/source/libraries/libcerf/err_fcts.c new file mode 100644 index 000000000..9c0c7aed9 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/err_fcts.c @@ -0,0 +1,438 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File err_fcts.c: + * Computate Dawson, Voigt, and several error functions, + * based on erfcx, im_w_of_x, w_of_z as implemented in separate files. + * + * Given w(z), the error functions are mostly straightforward + * to compute, except for certain regions where we have to + * switch to Taylor expansions to avoid cancellation errors + * [e.g. near the origin for erf(z)]. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Man pages: + * cerf(3), dawson(3), voigt(3) + */ + +#include "cerf.h" +#include <math.h> +#include "defs.h" // defines _cerf_cmplx, NaN, C, cexp, ... + +const double spi2 = 0.8862269254527580136490837416705725913990; // sqrt(pi)/2 +const double s2pi = 2.5066282746310005024157652848110; // sqrt(2*pi) +const double pi = 3.141592653589793238462643383279503; + +/******************************************************************************/ +/* Simple wrappers: cerfcx, cerfi, erfi, dawson */ +/******************************************************************************/ + +_cerf_cmplx cerfcx(_cerf_cmplx z) +{ + // Compute erfcx(z) = exp(z^2) erfc(z), + // the complex underflow-compensated complementary error function, + // trivially related to Faddeeva's w_of_z. + + return w_of_z(C(-cimag(z), creal(z))); +} + +_cerf_cmplx cerfi(_cerf_cmplx z) +{ + // Compute erfi(z) = -i erf(iz), + // the rotated complex error function. + + _cerf_cmplx e = cerf(C(-cimag(z),creal(z))); + return C(cimag(e), -creal(e)); +} + +double erfi(double x) +{ + // Compute erfi(x) = -i erf(ix), + // the imaginary error function. + + return x*x > 720 ? (x > 0 ? Inf : -Inf) : exp(x*x) * im_w_of_x(x); +} + +double dawson(double x) +{ + + // Compute dawson(x) = sqrt(pi)/2 * exp(-x^2) * erfi(x), + // Dawson's integral for a real argument. + + return spi2 * im_w_of_x(x); +} + +double re_w_of_z( double x, double y ) +{ + return creal( w_of_z( C(x,y) ) ); +} + +double im_w_of_z( double x, double y ) +{ + return cimag( w_of_z( C(x,y) ) ); +} + +/******************************************************************************/ +/* voigt */ +/******************************************************************************/ + +double voigt( double x, double sigma, double gamma ) +{ + // Joachim Wuttke, January 2013. + + // Compute Voigt's convolution of a Gaussian + // G(x,sigma) = 1/sqrt(2*pi)/|sigma| * exp(-x^2/2/sigma^2) + // and a Lorentzian + // L(x,gamma) = |gamma| / pi / ( x^2 + gamma^2 ), + // namely + // voigt(x,sigma,gamma) = + // \int_{-infty}^{infty} dx' G(x',sigma) L(x-x',gamma) + // using the relation + // voigt(x,sigma,gamma) = Re{ w(z) } / sqrt(2*pi) / |sigma| + // with + // z = (x+i*|gamma|) / sqrt(2) / |sigma|. + + // Reference: Abramowitz&Stegun (1964), formula (7.4.13). + + double gam = gamma < 0 ? -gamma : gamma; + double sig = sigma < 0 ? -sigma : sigma; + + if ( gam==0 ) { + if ( sig==0 ) { + // It's kind of a delta function + return x ? 0 : Inf; + } else { + // It's a pure Gaussian + return exp( -x*x/2/(sig*sig) ) / s2pi / sig; + } + } else { + if ( sig==0 ) { + // It's a pure Lorentzian + return gam / pi / (x*x + gam*gam); + } else { + // Regular case, both parameters are nonzero + _cerf_cmplx z = complex_mul_cr(C(x, gam), 1. / sqrt(2) / sig); + return creal( w_of_z(z) ) / s2pi / sig; + // TODO: correct and activate the following: +// double w = sqrt(gam*gam+sig*sig); // to work in reduced units +// _cerf_cmplx z = C(x/w,gam/w) / sqrt(2) / (sig/w); +// return creal( w_of_z(z) ) / s2pi / (sig/w); + } + } +} + +/******************************************************************************/ +/* cerf */ +/******************************************************************************/ + +_cerf_cmplx cerf(_cerf_cmplx z) +{ + + // Steven G. Johnson, October 2012. + + // Compute erf(z), the complex error function, + // using w_of_z except for certain regions. + + double x = creal(z), y = cimag(z); + + if (y == 0) + return C(erf(x), y); // preserve sign of 0 + if (x == 0) // handle separately for speed & handling of y = Inf or NaN + return C(x, // preserve sign of 0 + /* handle y -> Inf limit manually, since + exp(y^2) -> Inf but Im[w(y)] -> 0, so + IEEE will give us a NaN when it should be Inf */ + y*y > 720 ? (y > 0 ? Inf : -Inf) + : exp(y*y) * im_w_of_x(y)); + + double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow + double mIm_z2 = -2*x*y; // Im(-z^2) + if (mRe_z2 < -750) // underflow + return (x >= 0 ? C(1.0, 0.0) : C(-1.0, 0.0));; + + /* Handle positive and negative x via different formulas, + using the mirror symmetries of w, to avoid overflow/underflow + problems from multiplying exponentially large and small quantities. */ + if (x >= 0) { + if (x < 8e-2) { + if (fabs(y) < 1e-2) + goto taylor; + else if (fabs(mIm_z2) < 5e-3 && x < 5e-3) + goto taylor_erfi; + } + /* don't use complex exp function, since that will produce spurious NaN + values when multiplying w in an overflow situation. */ + return complex_sub_rc(1.0, complex_mul_rc(exp(mRe_z2), complex_mul_cc(C(cos(mIm_z2), sin(mIm_z2)), w_of_z(C(-y, x))))); + } + else { // x < 0 + if (x > -8e-2) { // duplicate from above to avoid fabs(x) call + if (fabs(y) < 1e-2) + goto taylor; + else if (fabs(mIm_z2) < 5e-3 && x > -5e-3) + goto taylor_erfi; + } + else if (isnan(x)) + return C(NaN, y == 0 ? 0 : NaN); + /* don't use complex exp function, since that will produce spurious NaN + values when multiplying w in an overflow situation. */ + return complex_add_rc(-1.0, complex_mul_rc(exp(mRe_z2), complex_mul_cc(C(cos(mIm_z2), sin(mIm_z2)), w_of_z(C(y, -x))))); + + } + + // Use Taylor series for small |z|, to avoid cancellation inaccuracy + // erf(z) = 2/sqrt(pi) * z * (1 - z^2/3 + z^4/10 - z^6/42 + z^8/216 + ...) +taylor: + { + _cerf_cmplx mz2 = C(mRe_z2, mIm_z2); // -z^2 + return + complex_mul_cc(z, complex_add_rc(1.1283791670955125739, + complex_mul_cc(mz2, complex_add_rc(0.37612638903183752464, + complex_mul_cc(mz2, complex_add_rc(0.11283791670955125739, + complex_mul_cc(mz2, complex_add_rc(0.026866170645131251760, + complex_mul_cr(mz2, 0.0052239776254421878422))))))))); + + + } + + /* for small |x| and small |xy|, + use Taylor series to avoid cancellation inaccuracy: + erf(x+iy) = erf(iy) + + 2*exp(y^2)/sqrt(pi) * + [ x * (1 - x^2 * (1+2y^2)/3 + x^4 * (3+12y^2+4y^4)/30 + ... + - i * x^2 * y * (1 - x^2 * (3+2y^2)/6 + ...) ] + where: + erf(iy) = exp(y^2) * Im[w(y)] + */ +taylor_erfi: + { + double x2 = x*x, y2 = y*y; + double expy2 = exp(y2); + return C + (expy2 * x * (1.1283791670955125739 + - x2 * (0.37612638903183752464 + + 0.75225277806367504925*y2) + + x2*x2 * (0.11283791670955125739 + + y2 * (0.45135166683820502956 + + 0.15045055561273500986*y2))), + expy2 * (im_w_of_x(y) + - x2*y * (1.1283791670955125739 + - x2 * (0.56418958354775628695 + + 0.37612638903183752464*y2)))); + } +} // cerf + +/******************************************************************************/ +/* cerfc */ +/******************************************************************************/ + +_cerf_cmplx cerfc(_cerf_cmplx z) +{ + // Steven G. Johnson, October 2012. + + // Compute erfc(z) = 1 - erf(z), the complex complementary error function, + // using w_of_z except for certain regions. + + double x = creal(z), y = cimag(z); + + if (x == 0.) + return C(1, + /* handle y -> Inf limit manually, since + exp(y^2) -> Inf but Im[w(y)] -> 0, so + IEEE will give us a NaN when it should be Inf */ + y*y > 720 ? (y > 0 ? -Inf : Inf) + : -exp(y*y) * im_w_of_x(y)); + if (y == 0.) { + if (x*x > 750) // underflow + return C(x >= 0 ? 0.0 : 2.0, + -y); // preserve sign of 0 + return C(x >= 0 ? exp(-x*x) * erfcx(x) + : 2. - exp(-x*x) * erfcx(-x), + -y); // preserve sign of zero + } + + double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow + double mIm_z2 = -2*x*y; // Im(-z^2) + if (mRe_z2 < -750) // underflow + return C((x >= 0 ? 0.0 : 2.0), 0.0); + + if (x >= 0) + return cexp(complex_mul_cc(C(mRe_z2, mIm_z2), w_of_z(C(-y,x)))); + else + return complex_sub_rc(2.0, complex_mul_cc(cexp(C(mRe_z2, mIm_z2)), w_of_z(C(y, -x)))); +} // cerfc + +/******************************************************************************/ +/* cdawson */ +/******************************************************************************/ + +_cerf_cmplx cdawson(_cerf_cmplx z) +{ + + // Steven G. Johnson, October 2012. + + // Compute Dawson(z) = sqrt(pi)/2 * exp(-z^2) * erfi(z), + // Dawson's integral for a complex argument, + // using w_of_z except for certain regions. + + double x = creal(z), y = cimag(z); + + // handle axes separately for speed & proper handling of x or y = Inf or NaN + if (y == 0) + return C(spi2 * im_w_of_x(x), + -y); // preserve sign of 0 + if (x == 0) { + double y2 = y*y; + if (y2 < 2.5e-5) { // Taylor expansion + return C(x, // preserve sign of 0 + y * (1. + + y2 * (0.6666666666666666666666666666666666666667 + + y2 * 0.26666666666666666666666666666666666667))); + } + return C(x, // preserve sign of 0 + spi2 * (y >= 0 + ? exp(y2) - erfcx(y) + : erfcx(-y) - exp(y2))); + } + + double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow + double mIm_z2 = -2*x*y; // Im(-z^2) + _cerf_cmplx mz2 = C(mRe_z2, mIm_z2); // -z^2 + + /* Handle positive and negative x via different formulas, + using the mirror symmetries of w, to avoid overflow/underflow + problems from multiplying exponentially large and small quantities. */ + if (y >= 0) { + if (y < 5e-3) { + if (fabs(x) < 5e-3) + goto taylor; + else if (fabs(mIm_z2) < 5e-3) + goto taylor_realaxis; + } + _cerf_cmplx res = complex_sub_cc(cexp(mz2), w_of_z(z)); + return complex_mul_rc(spi2, C(-cimag(res), creal(res))); + } + else { // y < 0 + if (y > -5e-3) { // duplicate from above to avoid fabs(x) call + if (fabs(x) < 5e-3) + goto taylor; + else if (fabs(mIm_z2) < 5e-3) + goto taylor_realaxis; + } + else if (isnan(y)) + return C(x == 0 ? 0 : NaN, NaN); + { + _cerf_cmplx res = complex_sub_cc(w_of_z(complex_neg(z)), cexp(mz2)); + return complex_mul_rc(spi2, C(-cimag(res), creal(res))); + } + } + + // Use Taylor series for small |z|, to avoid cancellation inaccuracy + // dawson(z) = z - 2/3 z^3 + 4/15 z^5 + ... +taylor: + return complex_mul_cc(z, complex_add_rc(1., + complex_mul_cc(mz2, complex_add_rc(0.6666666666666666666666666666666666666667, + complex_mul_cr(mz2, 0.2666666666666666666666666666666666666667))))); + /* for small |y| and small |xy|, + use Taylor series to avoid cancellation inaccuracy: + dawson(x + iy) + = D + y^2 (D + x - 2Dx^2) + + y^4 (D/2 + 5x/6 - 2Dx^2 - x^3/3 + 2Dx^4/3) + + iy [ (1-2Dx) + 2/3 y^2 (1 - 3Dx - x^2 + 2Dx^3) + + y^4/15 (4 - 15Dx - 9x^2 + 20Dx^3 + 2x^4 - 4Dx^5) ] + ... + where D = dawson(x) + + However, for large |x|, 2Dx -> 1 which gives cancellation problems in + this series (many of the leading terms cancel). So, for large |x|, + we need to substitute a continued-fraction expansion for D. + + dawson(x) = 0.5 / (x-0.5/(x-1/(x-1.5/(x-2/(x-2.5/(x...)))))) + + The 6 terms shown here seems to be the minimum needed to be + accurate as soon as the simpler Taylor expansion above starts + breaking down. Using this 6-term expansion, factoring out the + denominator, and simplifying with Maple, we obtain: + + Re dawson(x + iy) * (-15 + 90x^2 - 60x^4 + 8x^6) / x + = 33 - 28x^2 + 4x^4 + y^2 (18 - 4x^2) + 4 y^4 + Im dawson(x + iy) * (-15 + 90x^2 - 60x^4 + 8x^6) / y + = -15 + 24x^2 - 4x^4 + 2/3 y^2 (6x^2 - 15) - 4 y^4 + + Finally, for |x| > 5e7, we can use a simpler 1-term continued-fraction + expansion for the real part, and a 2-term expansion for the imaginary + part. (This avoids overflow problems for huge |x|.) This yields: + + Re dawson(x + iy) = [1 + y^2 (1 + y^2/2 - (xy)^2/3)] / (2x) + Im dawson(x + iy) = y [ -1 - 2/3 y^2 + y^4/15 (2x^2 - 4) ] / (2x^2 - 1) + + */ +taylor_realaxis: + { + double x2 = x*x; + if (x2 > 1600) { // |x| > 40 + double y2 = y*y; + if (x2 > 25e14) {// |x| > 5e7 + double xy2 = (x*y)*(x*y); + return C((0.5 + y2 * (0.5 + 0.25*y2 + - 0.16666666666666666667*xy2)) / x, + y * (-1 + y2 * (-0.66666666666666666667 + + 0.13333333333333333333*xy2 + - 0.26666666666666666667*y2)) + / (2*x2 - 1)); + } + return complex_mul_rc((1. / (-15 + x2 * (90 + x2 * (-60 + 8 * x2)))), + C(x * (33 + x2 * (-28 + 4 * x2) + + +y2 * (18 - 4 * x2 + 4 * y2)), + +y * (-15 + x2 * (24 - 4 * x2) + + +y2 * (4 * x2 - 10 - 4 * y2)))); + } + else { + double D = spi2 * im_w_of_x(x); + double y2 = y*y; + return C + (D + y2 * (D + x - 2*D*x2) + + y2*y2 * (D * (0.5 - x2 * (2 - 0.66666666666666666667*x2)) + + x * (0.83333333333333333333 + - 0.33333333333333333333 * x2)), + y * (1 - 2*D*x + + y2 * 0.66666666666666666667 * (1 - x2 - D*x * (3 - 2*x2)) + + y2*y2 * (0.26666666666666666667 - + x2 * (0.6 - 0.13333333333333333333 * x2) + - D*x * (1 - x2 * (1.3333333333333333333 + - 0.26666666666666666667 * x2))))); + } + } +} // cdawson diff --git a/source/luametatex/source/libraries/libcerf/experimental.c b/source/luametatex/source/libraries/libcerf/experimental.c new file mode 100644 index 000000000..f5ba9477e --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/experimental.c @@ -0,0 +1,178 @@ +/******************************************************************************/ +/* Experimental code */ +/******************************************************************************/ + +/* + Compute w_of_z via Fourier integration using Ooura-Mori transform. + Agreement with Johnson's code usually < 1E-15, so far always < 1E-13. + Todo: + - sign for negative x or y + - determine application limits + - more systematical comparison with Johnson's code + - comparison with Abrarov&Quine + */ + +#define max_iter_int 10 +#define num_range 5 +#define PI 3.14159265358979323846L /* pi */ +#define SQR(x) ((x)*(x)) +#include <errno.h> + +double cerf_experimental_integration( int kind, double x, double y ) +// kind: 0 cos, 1 sin transform (precomputing arrays[2] depend on this) +{ + // unused parameters + static int mu = 0; + int intgr_debug = 0; + static double intgr_delta=2.2e-16, intgr_eps=5.5e-20; + + if( x<0 || y<0 ) { + fprintf( stderr, "negative arguments not yet implemented\n" ); + exit( EDOM ); + } + + double w = sqrt(2)*x; + double gamma = sqrt(2)*y; + + int iter; + int kaux; + int isig; + int N; + int j; // range + long double S=0; // trapezoid sum + long double S_last; // - in last iteration + long double s; // term contributing to S + long double T; // sum of abs(s) + // precomputed coefficients + static int firstCall=1; + static int iterDone[2][num_range]; // Nm,Np,ak,bk are precomputed up to this + static int Nm[num_range][max_iter_int]; + static int Np[num_range][max_iter_int]; + static long double *ak[2][num_range][max_iter_int]; + static long double *bk[2][num_range][max_iter_int]; + // auxiliary for computing ak and bk + long double u; + long double e; + long double tk; + long double chi; + long double dchi; + long double h; + long double k; + long double f; + long double ahk; + long double chk; + long double dhk; + double p; + double q; + const double Smin=2e-20; // to assess worst truncation error + + // dynamic initialization upon first call + if ( firstCall ) { + for ( j=0; j<num_range; ++ j ) { + iterDone[0][j] = -1; + iterDone[1][j] = -1; + } + firstCall = 0; + } + + // determine range, set p,q + j=1; p=1.4; q=0.6; + + // iterative integration + if( intgr_debug & 4 ) + N = 100; + else + N = 40; + for ( iter=0; iter<max_iter_int; ++iter ) { + // static initialisation of Nm, Np, ak, bk for given 'iter' + if ( iter>iterDone[kind][j] ) { + if ( N>1e6 ) + return -3; // integral limits overflow + Nm[j][iter] = N; + Np[j][iter] = N; + if ( !( ak[kind][j][iter]=malloc((sizeof(long double))* + (Nm[j][iter]+1+Np[j][iter])) ) || + !( bk[kind][j][iter]=malloc((sizeof(long double))* + (Nm[j][iter]+1+Np[j][iter])) ) ) { + fprintf( stderr, "Workspace allocation failed\n" ); + exit( ENOMEM ); + } + h = logl( logl( 42*N/intgr_delta/Smin ) / p ) / N; // 42=(pi+1)*10 + isig=1-2*(Nm[j][iter]&1); + for ( kaux=-Nm[j][iter]; kaux<=Np[j][iter]; ++kaux ) { + k = kaux; + if( !kind ) + k -= 0.5; + u = k*h; + chi = 2*p*sinhl(u) + 2*q*u; + dchi = 2*p*coshl(u) + 2*q; + if ( u==0 ) { + if ( k!=0 ) + return -4; // integration variable underflow + // special treatment to bridge singularity at u=0 + ahk = PI/h/dchi; + dhk = 0.5; + chk = sin( ahk ); + } else { + if ( -chi>DBL_MAX_EXP/2 ) + return -5; // integral transformation overflow + e = expl( -chi ); + ahk = PI/h * u/(1-e); + dhk = 1/(1-e) - u*e*dchi/SQR(1-e); + chk = e>1 ? + ( kind ? sinl( PI*k/(1-e) ) : cosl( PI*k/(1-e) ) ) : + isig * sinl( PI*k*e/(1-e) ); + } + ak[kind][j][iter][kaux+Nm[j][iter]] = ahk; + bk[kind][j][iter][kaux+Nm[j][iter]] = dhk * chk; + isig = -isig; + } + iterDone[kind][j] = iter; + } + // integrate according to trapezoidal rule + S_last = S; + S = 0; + T = 0; + for ( kaux=-Nm[j][iter]; kaux<=Np[j][iter]; ++kaux ) { + tk = ak[kind][j][iter][kaux+Nm[j][iter]] / w; + f = expl(-tk*gamma-SQR(tk)/2); // Fourier kernel + if ( mu ) + f /= tk; // TODO + s = bk[kind][j][iter][kaux+Nm[j][iter]] * f; + S += s; + T += fabsl(s); + if( intgr_debug & 2 ) + printf( "%2i %6i %12.4Lg %12.4Lg" + " %12.4Lg %12.4Lg %12.4Lg %12.4Lg\n", + iter, kaux, ak[kind][j][iter][kaux+Nm[j][iter]], + bk[kind][j][iter][kaux+Nm[j][iter]], f, s, S, T ); + } + if( intgr_debug & 1 ) + printf( "%23.17Le %23.17Le\n", S, T ); + // intgr_num_of_terms += Np[j][iter]-(-Nm[j][iter])+1; + // termination criteria + if ( intgr_debug & 4 ) + return -1; // we want to inspect just one sum + else if ( S < 0 ) + return -6; // cancelling terms lead to negative S + else if ( intgr_eps*T > intgr_delta*fabs(S) ) + return -2; // cancellation + else if ( iter && fabs(S-S_last) + intgr_eps*T < intgr_delta*fabs(S) ) + return S*sqrt(2*PI)/w; // success + // factor 2 from int_-infty^+infty = 2 * int_0^+infty + // factor pi/w from formula 48 in kww paper + // factor 1/sqrt(2*pi) from Gaussian + N *= 2; // retry with more points + } + return -9; // not converged +} + +double cerf_experimental_imw( double x, double y ) +{ + return cerf_experimental_integration( 1, x, y ); +} + +double cerf_experimental_rew( double x, double y ) +{ + return cerf_experimental_integration( 0, x, y ); +} diff --git a/source/luametatex/source/libraries/libcerf/im_w_of_x.c b/source/luametatex/source/libraries/libcerf/im_w_of_x.c new file mode 100644 index 000000000..505c8c3fe --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/im_w_of_x.c @@ -0,0 +1,519 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File im_w_of_x.c: + * Compute scaled Dawson integral im_w_of_x(x) = 2*dawson(x)/sqrt(pi), + * equivalent to the imaginary part of the Faddeeva function w(x) for real x. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Manual page: + * man 3 im_w_of_x + */ + +#include "cerf.h" +#include <math.h> +#include "defs.h" // defines _cerf_cmplx, NaN, C, cexp, ... + +/******************************************************************************/ +/* Lookup-table for Chebyshev polynomials for smaller |x| */ +/******************************************************************************/ + +static double w_im_y100(double y100, double x) +{ + // Steven G. Johnson, October 2012. + + // Given y100=100*y, where y = 1/(1+x) for x >= 0, compute w_im(x). + + // Uses a look-up table of 100 different Chebyshev polynomials + // for y intervals [0,0.01], [0.01,0.02], ...., [0.99,1], generated + // with the help of Maple and a little shell script. + // This allows the Chebyshev polynomials to be of significantly lower + // degree (about 1/30) compared to fitting the whole [0,1] interval + // with a single polynomial. + + switch ((int) y100) { + case 0: { + double t = 2*y100 - 1; + return 0.28351593328822191546e-2 + (0.28494783221378400759e-2 + (0.14427470563276734183e-4 + (0.10939723080231588129e-6 + (0.92474307943275042045e-9 + (0.89128907666450075245e-11 + 0.92974121935111111110e-13 * t) * t) * t) * t) * t) * t; + } + case 1: { + double t = 2*y100 - 3; + return 0.85927161243940350562e-2 + (0.29085312941641339862e-2 + (0.15106783707725582090e-4 + (0.11716709978531327367e-6 + (0.10197387816021040024e-8 + (0.10122678863073360769e-10 + 0.10917479678400000000e-12 * t) * t) * t) * t) * t) * t; + } + case 2: { + double t = 2*y100 - 5; + return 0.14471159831187703054e-1 + (0.29703978970263836210e-2 + (0.15835096760173030976e-4 + (0.12574803383199211596e-6 + (0.11278672159518415848e-8 + (0.11547462300333495797e-10 + 0.12894535335111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 3: { + double t = 2*y100 - 7; + return 0.20476320420324610618e-1 + (0.30352843012898665856e-2 + (0.16617609387003727409e-4 + (0.13525429711163116103e-6 + (0.12515095552507169013e-8 + (0.13235687543603382345e-10 + 0.15326595042666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 4: { + double t = 2*y100 - 9; + return 0.26614461952489004566e-1 + (0.31034189276234947088e-2 + (0.17460268109986214274e-4 + (0.14582130824485709573e-6 + (0.13935959083809746345e-8 + (0.15249438072998932900e-10 + 0.18344741882133333333e-12 * t) * t) * t) * t) * t) * t; + } + case 5: { + double t = 2*y100 - 11; + return 0.32892330248093586215e-1 + (0.31750557067975068584e-2 + (0.18369907582308672632e-4 + (0.15761063702089457882e-6 + (0.15577638230480894382e-8 + (0.17663868462699097951e-10 + (0.22126732680711111111e-12 + 0.30273474177737853668e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 6: { + double t = 2*y100 - 13; + return 0.39317207681134336024e-1 + (0.32504779701937539333e-2 + (0.19354426046513400534e-4 + (0.17081646971321290539e-6 + (0.17485733959327106250e-8 + (0.20593687304921961410e-10 + (0.26917401949155555556e-12 + 0.38562123837725712270e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 7: { + double t = 2*y100 - 15; + return 0.45896976511367738235e-1 + (0.33300031273110976165e-2 + (0.20423005398039037313e-4 + (0.18567412470376467303e-6 + (0.19718038363586588213e-8 + (0.24175006536781219807e-10 + (0.33059982791466666666e-12 + 0.49756574284439426165e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 8: { + double t = 2*y100 - 17; + return 0.52640192524848962855e-1 + (0.34139883358846720806e-2 + (0.21586390240603337337e-4 + (0.20247136501568904646e-6 + (0.22348696948197102935e-8 + (0.28597516301950162548e-10 + (0.41045502119111111110e-12 + 0.65151614515238361946e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 9: { + double t = 2*y100 - 19; + return 0.59556171228656770456e-1 + (0.35028374386648914444e-2 + (0.22857246150998562824e-4 + (0.22156372146525190679e-6 + (0.25474171590893813583e-8 + (0.34122390890697400584e-10 + (0.51593189879111111110e-12 + 0.86775076853908006938e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 10: { + double t = 2*y100 - 21; + return 0.66655089485108212551e-1 + (0.35970095381271285568e-2 + (0.24250626164318672928e-4 + (0.24339561521785040536e-6 + (0.29221990406518411415e-8 + (0.41117013527967776467e-10 + (0.65786450716444444445e-12 + 0.11791885745450623331e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 11: { + double t = 2*y100 - 23; + return 0.73948106345519174661e-1 + (0.36970297216569341748e-2 + (0.25784588137312868792e-4 + (0.26853012002366752770e-6 + (0.33763958861206729592e-8 + (0.50111549981376976397e-10 + (0.85313857496888888890e-12 + 0.16417079927706899860e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 12: { + double t = 2*y100 - 25; + return 0.81447508065002963203e-1 + (0.38035026606492705117e-2 + (0.27481027572231851896e-4 + (0.29769200731832331364e-6 + (0.39336816287457655076e-8 + (0.61895471132038157624e-10 + (0.11292303213511111111e-11 + 0.23558532213703884304e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 13: { + double t = 2*y100 - 27; + return 0.89166884027582716628e-1 + (0.39171301322438946014e-2 + (0.29366827260422311668e-4 + (0.33183204390350724895e-6 + (0.46276006281647330524e-8 + (0.77692631378169813324e-10 + (0.15335153258844444444e-11 + 0.35183103415916026911e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 14: { + double t = 2*y100 - 29; + return 0.97121342888032322019e-1 + (0.40387340353207909514e-2 + (0.31475490395950776930e-4 + (0.37222714227125135042e-6 + (0.55074373178613809996e-8 + (0.99509175283990337944e-10 + (0.21552645758222222222e-11 + 0.55728651431872687605e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 15: { + double t = 2*y100 - 31; + return 0.10532778218603311137e0 + (0.41692873614065380607e-2 + (0.33849549774889456984e-4 + (0.42064596193692630143e-6 + (0.66494579697622432987e-8 + (0.13094103581931802337e-9 + (0.31896187409777777778e-11 + 0.97271974184476560742e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 16: { + double t = 2*y100 - 33; + return 0.11380523107427108222e0 + (0.43099572287871821013e-2 + (0.36544324341565929930e-4 + (0.47965044028581857764e-6 + (0.81819034238463698796e-8 + (0.17934133239549647357e-9 + (0.50956666166186293627e-11 + (0.18850487318190638010e-12 + 0.79697813173519853340e-14 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 17: { + double t = 2*y100 - 35; + return 0.12257529703447467345e0 + (0.44621675710026986366e-2 + (0.39634304721292440285e-4 + (0.55321553769873381819e-6 + (0.10343619428848520870e-7 + (0.26033830170470368088e-9 + (0.87743837749108025357e-11 + (0.34427092430230063401e-12 + 0.10205506615709843189e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 18: { + double t = 2*y100 - 37; + return 0.13166276955656699478e0 + (0.46276970481783001803e-2 + (0.43225026380496399310e-4 + (0.64799164020016902656e-6 + (0.13580082794704641782e-7 + (0.39839800853954313927e-9 + (0.14431142411840000000e-10 + 0.42193457308830027541e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 19: { + double t = 2*y100 - 39; + return 0.14109647869803356475e0 + (0.48088424418545347758e-2 + (0.47474504753352150205e-4 + (0.77509866468724360352e-6 + (0.18536851570794291724e-7 + (0.60146623257887570439e-9 + (0.18533978397305276318e-10 + (0.41033845938901048380e-13 - 0.46160680279304825485e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 20: { + double t = 2*y100 - 41; + return 0.15091057940548936603e0 + (0.50086864672004685703e-2 + (0.52622482832192230762e-4 + (0.95034664722040355212e-6 + (0.25614261331144718769e-7 + (0.80183196716888606252e-9 + (0.12282524750534352272e-10 + (-0.10531774117332273617e-11 - 0.86157181395039646412e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 21: { + double t = 2*y100 - 43; + return 0.16114648116017010770e0 + (0.52314661581655369795e-2 + (0.59005534545908331315e-4 + (0.11885518333915387760e-5 + (0.33975801443239949256e-7 + (0.82111547144080388610e-9 + (-0.12357674017312854138e-10 + (-0.24355112256914479176e-11 - 0.75155506863572930844e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 22: { + double t = 2*y100 - 45; + return 0.17185551279680451144e0 + (0.54829002967599420860e-2 + (0.67013226658738082118e-4 + (0.14897400671425088807e-5 + (0.40690283917126153701e-7 + (0.44060872913473778318e-9 + (-0.52641873433280000000e-10 - 0.30940587864543343124e-11 * t) * t) * t) * t) * t) * t) * t; + } + case 23: { + double t = 2*y100 - 47; + return 0.18310194559815257381e0 + (0.57701559375966953174e-2 + (0.76948789401735193483e-4 + (0.18227569842290822512e-5 + (0.41092208344387212276e-7 + (-0.44009499965694442143e-9 + (-0.92195414685628803451e-10 + (-0.22657389705721753299e-11 + 0.10004784908106839254e-12 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 24: { + double t = 2*y100 - 49; + return 0.19496527191546630345e0 + (0.61010853144364724856e-2 + (0.88812881056342004864e-4 + (0.21180686746360261031e-5 + (0.30652145555130049203e-7 + (-0.16841328574105890409e-8 + (-0.11008129460612823934e-9 + (-0.12180794204544515779e-12 + 0.15703325634590334097e-12 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 25: { + double t = 2*y100 - 51; + return 0.20754006813966575720e0 + (0.64825787724922073908e-2 + (0.10209599627522311893e-3 + (0.22785233392557600468e-5 + (0.73495224449907568402e-8 + (-0.29442705974150112783e-8 + (-0.94082603434315016546e-10 + (0.23609990400179321267e-11 + 0.14141908654269023788e-12 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 26: { + double t = 2*y100 - 53; + return 0.22093185554845172146e0 + (0.69182878150187964499e-2 + (0.11568723331156335712e-3 + (0.22060577946323627739e-5 + (-0.26929730679360840096e-7 + (-0.38176506152362058013e-8 + (-0.47399503861054459243e-10 + (0.40953700187172127264e-11 + 0.69157730376118511127e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 27: { + double t = 2*y100 - 55; + return 0.23524827304057813918e0 + (0.74063350762008734520e-2 + (0.12796333874615790348e-3 + (0.18327267316171054273e-5 + (-0.66742910737957100098e-7 + (-0.40204740975496797870e-8 + (0.14515984139495745330e-10 + (0.44921608954536047975e-11 - 0.18583341338983776219e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 28: { + double t = 2*y100 - 57; + return 0.25058626331812744775e0 + (0.79377285151602061328e-2 + (0.13704268650417478346e-3 + (0.11427511739544695861e-5 + (-0.10485442447768377485e-6 + (-0.34850364756499369763e-8 + (0.72656453829502179208e-10 + (0.36195460197779299406e-11 - 0.84882136022200714710e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 29: { + double t = 2*y100 - 59; + return 0.26701724900280689785e0 + (0.84959936119625864274e-2 + (0.14112359443938883232e-3 + (0.17800427288596909634e-6 + (-0.13443492107643109071e-6 + (-0.23512456315677680293e-8 + (0.11245846264695936769e-9 + (0.19850501334649565404e-11 - 0.11284666134635050832e-12 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 30: { + double t = 2*y100 - 61; + return 0.28457293586253654144e0 + (0.90581563892650431899e-2 + (0.13880520331140646738e-3 + (-0.97262302362522896157e-6 + (-0.15077100040254187366e-6 + (-0.88574317464577116689e-9 + (0.12760311125637474581e-9 + (0.20155151018282695055e-12 - 0.10514169375181734921e-12 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 31: { + double t = 2*y100 - 63; + return 0.30323425595617385705e0 + (0.95968346790597422934e-2 + (0.12931067776725883939e-3 + (-0.21938741702795543986e-5 + (-0.15202888584907373963e-6 + (0.61788350541116331411e-9 + (0.11957835742791248256e-9 + (-0.12598179834007710908e-11 - 0.75151817129574614194e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 32: { + double t = 2*y100 - 65; + return 0.32292521181517384379e0 + (0.10082957727001199408e-1 + (0.11257589426154962226e-3 + (-0.33670890319327881129e-5 + (-0.13910529040004008158e-6 + (0.19170714373047512945e-8 + (0.94840222377720494290e-10 + (-0.21650018351795353201e-11 - 0.37875211678024922689e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 33: { + double t = 2*y100 - 67; + return 0.34351233557911753862e0 + (0.10488575435572745309e-1 + (0.89209444197248726614e-4 + (-0.43893459576483345364e-5 + (-0.11488595830450424419e-6 + (0.28599494117122464806e-8 + (0.61537542799857777779e-10 - 0.24935749227658002212e-11 * t) * t) * t) * t) * t) * t) * t; + } + case 34: { + double t = 2*y100 - 69; + return 0.36480946642143669093e0 + (0.10789304203431861366e-1 + (0.60357993745283076834e-4 + (-0.51855862174130669389e-5 + (-0.83291664087289801313e-7 + (0.33898011178582671546e-8 + (0.27082948188277716482e-10 + (-0.23603379397408694974e-11 + 0.19328087692252869842e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 35: { + double t = 2*y100 - 71; + return 0.38658679935694939199e0 + (0.10966119158288804999e-1 + (0.27521612041849561426e-4 + (-0.57132774537670953638e-5 + (-0.48404772799207914899e-7 + (0.35268354132474570493e-8 + (-0.32383477652514618094e-11 + (-0.19334202915190442501e-11 + 0.32333189861286460270e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 36: { + double t = 2*y100 - 73; + return 0.40858275583808707870e0 + (0.11006378016848466550e-1 + (-0.76396376685213286033e-5 + (-0.59609835484245791439e-5 + (-0.13834610033859313213e-7 + (0.33406952974861448790e-8 + (-0.26474915974296612559e-10 + (-0.13750229270354351983e-11 + 0.36169366979417390637e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 37: { + double t = 2*y100 - 75; + return 0.43051714914006682977e0 + (0.10904106549500816155e-1 + (-0.43477527256787216909e-4 + (-0.59429739547798343948e-5 + (0.17639200194091885949e-7 + (0.29235991689639918688e-8 + (-0.41718791216277812879e-10 + (-0.81023337739508049606e-12 + 0.33618915934461994428e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 38: { + double t = 2*y100 - 77; + return 0.45210428135559607406e0 + (0.10659670756384400554e-1 + (-0.78488639913256978087e-4 + (-0.56919860886214735936e-5 + (0.44181850467477733407e-7 + (0.23694306174312688151e-8 + (-0.49492621596685443247e-10 + (-0.31827275712126287222e-12 + 0.27494438742721623654e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 39: { + double t = 2*y100 - 79; + return 0.47306491195005224077e0 + (0.10279006119745977570e-1 + (-0.11140268171830478306e-3 + (-0.52518035247451432069e-5 + (0.64846898158889479518e-7 + (0.17603624837787337662e-8 + (-0.51129481592926104316e-10 + (0.62674584974141049511e-13 + 0.20055478560829935356e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 40: { + double t = 2*y100 - 81; + return 0.49313638965719857647e0 + (0.97725799114772017662e-2 + (-0.14122854267291533334e-3 + (-0.46707252568834951907e-5 + (0.79421347979319449524e-7 + (0.11603027184324708643e-8 + (-0.48269605844397175946e-10 + (0.32477251431748571219e-12 + 0.12831052634143527985e-13 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 41: { + double t = 2*y100 - 83; + return 0.51208057433416004042e0 + (0.91542422354009224951e-2 + (-0.16726530230228647275e-3 + (-0.39964621752527649409e-5 + (0.88232252903213171454e-7 + (0.61343113364949928501e-9 + (-0.42516755603130443051e-10 + (0.47910437172240209262e-12 + 0.66784341874437478953e-14 * t) * t) * t) * t) * t) * t) * t) * t; + } + case 42: { + double t = 2*y100 - 85; + return 0.52968945458607484524e0 + (0.84400880445116786088e-2 + (-0.18908729783854258774e-3 + (-0.32725905467782951931e-5 + (0.91956190588652090659e-7 + (0.14593989152420122909e-9 + (-0.35239490687644444445e-10 + 0.54613829888448694898e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 43: { + double t = 2*y100 - 87; + return 0.54578857454330070965e0 + (0.76474155195880295311e-2 + (-0.20651230590808213884e-3 + (-0.25364339140543131706e-5 + (0.91455367999510681979e-7 + (-0.23061359005297528898e-9 + (-0.27512928625244444444e-10 + 0.54895806008493285579e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 44: { + double t = 2*y100 - 89; + return 0.56023851910298493910e0 + (0.67938321739997196804e-2 + (-0.21956066613331411760e-3 + (-0.18181127670443266395e-5 + (0.87650335075416845987e-7 + (-0.51548062050366615977e-9 + (-0.20068462174044444444e-10 + 0.50912654909758187264e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 45: { + double t = 2*y100 - 91; + return 0.57293478057455721150e0 + (0.58965321010394044087e-2 + (-0.22841145229276575597e-3 + (-0.11404605562013443659e-5 + (0.81430290992322326296e-7 + (-0.71512447242755357629e-9 + (-0.13372664928000000000e-10 + 0.44461498336689298148e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 46: { + double t = 2*y100 - 93; + return 0.58380635448407827360e0 + (0.49717469530842831182e-2 + (-0.23336001540009645365e-3 + (-0.51952064448608850822e-6 + (0.73596577815411080511e-7 + (-0.84020916763091566035e-9 + (-0.76700972702222222221e-11 + 0.36914462807972467044e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 47: { + double t = 2*y100 - 95; + return 0.59281340237769489597e0 + (0.40343592069379730568e-2 + (-0.23477963738658326185e-3 + (0.34615944987790224234e-7 + (0.64832803248395814574e-7 + (-0.90329163587627007971e-9 + (-0.30421940400000000000e-11 + 0.29237386653743536669e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 48: { + double t = 2*y100 - 97; + return 0.59994428743114271918e0 + (0.30976579788271744329e-2 + (-0.23308875765700082835e-3 + (0.51681681023846925160e-6 + (0.55694594264948268169e-7 + (-0.91719117313243464652e-9 + (0.53982743680000000000e-12 + 0.22050829296187771142e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 49: { + double t = 2*y100 - 99; + return 0.60521224471819875444e0 + (0.21732138012345456060e-2 + (-0.22872428969625997456e-3 + (0.92588959922653404233e-6 + (0.46612665806531930684e-7 + (-0.89393722514414153351e-9 + (0.31718550353777777778e-11 + 0.15705458816080549117e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 50: { + double t = 2*y100 - 101; + return 0.60865189969791123620e0 + (0.12708480848877451719e-2 + (-0.22212090111534847166e-3 + (0.12636236031532793467e-5 + (0.37904037100232937574e-7 + (-0.84417089968101223519e-9 + (0.49843180828444444445e-11 + 0.10355439441049048273e-12 * t) * t) * t) * t) * t) * t) * t; + } + case 51: { + double t = 2*y100 - 103; + return 0.61031580103499200191e0 + (0.39867436055861038223e-3 + (-0.21369573439579869291e-3 + (0.15339402129026183670e-5 + (0.29787479206646594442e-7 + (-0.77687792914228632974e-9 + (0.61192452741333333334e-11 + 0.60216691829459295780e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 52: { + double t = 2*y100 - 105; + return 0.61027109047879835868e0 + (-0.43680904508059878254e-3 + (-0.20383783788303894442e-3 + (0.17421743090883439959e-5 + (0.22400425572175715576e-7 + (-0.69934719320045128997e-9 + (0.67152759655111111110e-11 + 0.26419960042578359995e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 53: { + double t = 2*y100 - 107; + return 0.60859639489217430521e0 + (-0.12305921390962936873e-2 + (-0.19290150253894682629e-3 + (0.18944904654478310128e-5 + (0.15815530398618149110e-7 + (-0.61726850580964876070e-9 + 0.68987888999111111110e-11 * t) * t) * t) * t) * t) * t; + } + case 54: { + double t = 2*y100 - 109; + return 0.60537899426486075181e0 + (-0.19790062241395705751e-2 + (-0.18120271393047062253e-3 + (0.19974264162313241405e-5 + (0.10055795094298172492e-7 + (-0.53491997919318263593e-9 + (0.67794550295111111110e-11 - 0.17059208095741511603e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 55: { + double t = 2*y100 - 111; + return 0.60071229457904110537e0 + (-0.26795676776166354354e-2 + (-0.16901799553627508781e-3 + (0.20575498324332621581e-5 + (0.51077165074461745053e-8 + (-0.45536079828057221858e-9 + (0.64488005516444444445e-11 - 0.29311677573152766338e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 56: { + double t = 2*y100 - 113; + return 0.59469361520112714738e0 + (-0.33308208190600993470e-2 + (-0.15658501295912405679e-3 + (0.20812116912895417272e-5 + (0.93227468760614182021e-9 + (-0.38066673740116080415e-9 + (0.59806790359111111110e-11 - 0.36887077278950440597e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 57: { + double t = 2*y100 - 115; + return 0.58742228631775388268e0 + (-0.39321858196059227251e-2 + (-0.14410441141450122535e-3 + (0.20743790018404020716e-5 + (-0.25261903811221913762e-8 + (-0.31212416519526924318e-9 + (0.54328422462222222221e-11 - 0.40864152484979815972e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 58: { + double t = 2*y100 - 117; + return 0.57899804200033018447e0 + (-0.44838157005618913447e-2 + (-0.13174245966501437965e-3 + (0.20425306888294362674e-5 + (-0.53330296023875447782e-8 + (-0.25041289435539821014e-9 + (0.48490437205333333334e-11 - 0.42162206939169045177e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 59: { + double t = 2*y100 - 119; + return 0.56951968796931245974e0 + (-0.49864649488074868952e-2 + (-0.11963416583477567125e-3 + (0.19906021780991036425e-5 + (-0.75580140299436494248e-8 + (-0.19576060961919820491e-9 + (0.42613011928888888890e-11 - 0.41539443304115604377e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 60: { + double t = 2*y100 - 121; + return 0.55908401930063918964e0 + (-0.54413711036826877753e-2 + (-0.10788661102511914628e-3 + (0.19229663322982839331e-5 + (-0.92714731195118129616e-8 + (-0.14807038677197394186e-9 + (0.36920870298666666666e-11 - 0.39603726688419162617e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 61: { + double t = 2*y100 - 123; + return 0.54778496152925675315e0 + (-0.58501497933213396670e-2 + (-0.96582314317855227421e-4 + (0.18434405235069270228e-5 + (-0.10541580254317078711e-7 + (-0.10702303407788943498e-9 + (0.31563175582222222222e-11 - 0.36829748079110481422e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 62: { + double t = 2*y100 - 125; + return 0.53571290831682823999e0 + (-0.62147030670760791791e-2 + (-0.85782497917111760790e-4 + (0.17553116363443470478e-5 + (-0.11432547349815541084e-7 + (-0.72157091369041330520e-10 + (0.26630811607111111111e-11 - 0.33578660425893164084e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 63: { + double t = 2*y100 - 127; + return 0.52295422962048434978e0 + (-0.65371404367776320720e-2 + (-0.75530164941473343780e-4 + (0.16613725797181276790e-5 + (-0.12003521296598910761e-7 + (-0.42929753689181106171e-10 + (0.22170894940444444444e-11 - 0.30117697501065110505e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 64: { + double t = 2*y100 - 129; + return 0.50959092577577886140e0 + (-0.68197117603118591766e-2 + (-0.65852936198953623307e-4 + (0.15639654113906716939e-5 + (-0.12308007991056524902e-7 + (-0.18761997536910939570e-10 + (0.18198628922666666667e-11 - 0.26638355362285200932e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 65: { + double t = 2*y100 - 131; + return 0.49570040481823167970e0 + (-0.70647509397614398066e-2 + (-0.56765617728962588218e-4 + (0.14650274449141448497e-5 + (-0.12393681471984051132e-7 + (0.92904351801168955424e-12 + (0.14706755960177777778e-11 - 0.23272455351266325318e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 66: { + double t = 2*y100 - 133; + return 0.48135536250935238066e0 + (-0.72746293327402359783e-2 + (-0.48272489495730030780e-4 + (0.13661377309113939689e-5 + (-0.12302464447599382189e-7 + (0.16707760028737074907e-10 + (0.11672928324444444444e-11 - 0.20105801424709924499e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 67: { + double t = 2*y100 - 135; + return 0.46662374675511439448e0 + (-0.74517177649528487002e-2 + (-0.40369318744279128718e-4 + (0.12685621118898535407e-5 + (-0.12070791463315156250e-7 + (0.29105507892605823871e-10 + (0.90653314645333333334e-12 - 0.17189503312102982646e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 68: { + double t = 2*y100 - 137; + return 0.45156879030168268778e0 + (-0.75983560650033817497e-2 + (-0.33045110380705139759e-4 + (0.11732956732035040896e-5 + (-0.11729986947158201869e-7 + (0.38611905704166441308e-10 + (0.68468768305777777779e-12 - 0.14549134330396754575e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 69: { + double t = 2*y100 - 139; + return 0.43624909769330896904e0 + (-0.77168291040309554679e-2 + (-0.26283612321339907756e-4 + (0.10811018836893550820e-5 + (-0.11306707563739851552e-7 + (0.45670446788529607380e-10 + (0.49782492549333333334e-12 - 0.12191983967561779442e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 70: { + double t = 2*y100 - 141; + return 0.42071877443548481181e0 + (-0.78093484015052730097e-2 + (-0.20064596897224934705e-4 + (0.99254806680671890766e-6 + (-0.10823412088884741451e-7 + (0.50677203326904716247e-10 + (0.34200547594666666666e-12 - 0.10112698698356194618e-13 * t) * t) * t) * t) * t) * t) * t; + } + case 71: { + double t = 2*y100 - 143; + return 0.40502758809710844280e0 + (-0.78780384460872937555e-2 + (-0.14364940764532853112e-4 + (0.90803709228265217384e-6 + (-0.10298832847014466907e-7 + (0.53981671221969478551e-10 + (0.21342751381333333333e-12 - 0.82975901848387729274e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 72: { + double t = 2*y100 - 145; + return 0.38922115269731446690e0 + (-0.79249269708242064120e-2 + (-0.91595258799106970453e-5 + (0.82783535102217576495e-6 + (-0.97484311059617744437e-8 + (0.55889029041660225629e-10 + (0.10851981336888888889e-12 - 0.67278553237853459757e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 73: { + double t = 2*y100 - 147; + return 0.37334112915460307335e0 + (-0.79519385109223148791e-2 + (-0.44219833548840469752e-5 + (0.75209719038240314732e-6 + (-0.91848251458553190451e-8 + (0.56663266668051433844e-10 + (0.23995894257777777778e-13 - 0.53819475285389344313e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 74: { + double t = 2*y100 - 149; + return 0.35742543583374223085e0 + (-0.79608906571527956177e-2 + (-0.12530071050975781198e-6 + (0.68088605744900552505e-6 + (-0.86181844090844164075e-8 + (0.56530784203816176153e-10 + (-0.43120012248888888890e-13 - 0.42372603392496813810e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 75: { + double t = 2*y100 - 151; + return 0.34150846431979618536e0 + (-0.79534924968773806029e-2 + (0.37576885610891515813e-5 + (0.61419263633090524326e-6 + (-0.80565865409945960125e-8 + (0.55684175248749269411e-10 + (-0.95486860764444444445e-13 - 0.32712946432984510595e-14 * t) * t) * t) * t) * t) * t) * t; + } + case 76: { + double t = 2*y100 - 153; + return 0.32562129649136346824e0 + (-0.79313448067948884309e-2 + (0.72539159933545300034e-5 + (0.55195028297415503083e-6 + (-0.75063365335570475258e-8 + (0.54281686749699595941e-10 - 0.13545424295111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 77: { + double t = 2*y100 - 155; + return 0.30979191977078391864e0 + (-0.78959416264207333695e-2 + (0.10389774377677210794e-4 + (0.49404804463196316464e-6 + (-0.69722488229411164685e-8 + (0.52469254655951393842e-10 - 0.16507860650666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 78: { + double t = 2*y100 - 157; + return 0.29404543811214459904e0 + (-0.78486728990364155356e-2 + (0.13190885683106990459e-4 + (0.44034158861387909694e-6 + (-0.64578942561562616481e-8 + (0.50354306498006928984e-10 - 0.18614473550222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 79: { + double t = 2*y100 - 159; + return 0.27840427686253660515e0 + (-0.77908279176252742013e-2 + (0.15681928798708548349e-4 + (0.39066226205099807573e-6 + (-0.59658144820660420814e-8 + (0.48030086420373141763e-10 - 0.20018995173333333333e-12 * t) * t) * t) * t) * t) * t; + } + case 80: { + double t = 2*y100 - 161; + return 0.26288838011163800908e0 + (-0.77235993576119469018e-2 + (0.17886516796198660969e-4 + (0.34482457073472497720e-6 + (-0.54977066551955420066e-8 + (0.45572749379147269213e-10 - 0.20852924954666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 81: { + double t = 2*y100 - 163; + return 0.24751539954181029717e0 + (-0.76480877165290370975e-2 + (0.19827114835033977049e-4 + (0.30263228619976332110e-6 + (-0.50545814570120129947e-8 + (0.43043879374212005966e-10 - 0.21228012028444444444e-12 * t) * t) * t) * t) * t) * t; + } + case 82: { + double t = 2*y100 - 165; + return 0.23230087411688914593e0 + (-0.75653060136384041587e-2 + (0.21524991113020016415e-4 + (0.26388338542539382413e-6 + (-0.46368974069671446622e-8 + (0.40492715758206515307e-10 - 0.21238627815111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 83: { + double t = 2*y100 - 167; + return 0.21725840021297341931e0 + (-0.74761846305979730439e-2 + (0.23000194404129495243e-4 + (0.22837400135642906796e-6 + (-0.42446743058417541277e-8 + (0.37958104071765923728e-10 - 0.20963978568888888889e-12 * t) * t) * t) * t) * t) * t; + } + case 84: { + double t = 2*y100 - 169; + return 0.20239979200788191491e0 + (-0.73815761980493466516e-2 + (0.24271552727631854013e-4 + (0.19590154043390012843e-6 + (-0.38775884642456551753e-8 + (0.35470192372162901168e-10 - 0.20470131678222222222e-12 * t) * t) * t) * t) * t) * t; + } + case 85: { + double t = 2*y100 - 171; + return 0.18773523211558098962e0 + (-0.72822604530339834448e-2 + (0.25356688567841293697e-4 + (0.16626710297744290016e-6 + (-0.35350521468015310830e-8 + (0.33051896213898864306e-10 - 0.19811844544000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 86: { + double t = 2*y100 - 173; + return 0.17327341258479649442e0 + (-0.71789490089142761950e-2 + (0.26272046822383820476e-4 + (0.13927732375657362345e-6 + (-0.32162794266956859603e-8 + (0.30720156036105652035e-10 - 0.19034196304000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 87: { + double t = 2*y100 - 175; + return 0.15902166648328672043e0 + (-0.70722899934245504034e-2 + (0.27032932310132226025e-4 + (0.11474573347816568279e-6 + (-0.29203404091754665063e-8 + (0.28487010262547971859e-10 - 0.18174029063111111111e-12 * t) * t) * t) * t) * t) * t; + } + case 88: { + double t = 2*y100 - 177; + return 0.14498609036610283865e0 + (-0.69628725220045029273e-2 + (0.27653554229160596221e-4 + (0.92493727167393036470e-7 + (-0.26462055548683583849e-8 + (0.26360506250989943739e-10 - 0.17261211260444444444e-12 * t) * t) * t) * t) * t) * t; + } + case 89: { + double t = 2*y100 - 179; + return 0.13117165798208050667e0 + (-0.68512309830281084723e-2 + (0.28147075431133863774e-4 + (0.72351212437979583441e-7 + (-0.23927816200314358570e-8 + (0.24345469651209833155e-10 - 0.16319736960000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 90: { + double t = 2*y100 - 181; + return 0.11758232561160626306e0 + (-0.67378491192463392927e-2 + (0.28525664781722907847e-4 + (0.54156999310046790024e-7 + (-0.21589405340123827823e-8 + (0.22444150951727334619e-10 - 0.15368675584000000000e-12 * t) * t) * t) * t) * t) * t; + } + case 91: { + double t = 2*y100 - 183; + return 0.10422112945361673560e0 + (-0.66231638959845581564e-2 + (0.28800551216363918088e-4 + (0.37758983397952149613e-7 + (-0.19435423557038933431e-8 + (0.20656766125421362458e-10 - 0.14422990012444444444e-12 * t) * t) * t) * t) * t) * t; + } + case 92: { + double t = 2*y100 - 185; + return 0.91090275493541084785e-1 + (-0.65075691516115160062e-2 + (0.28982078385527224867e-4 + (0.23014165807643012781e-7 + (-0.17454532910249875958e-8 + (0.18981946442680092373e-10 - 0.13494234691555555556e-12 * t) * t) * t) * t) * t) * t; + } + case 93: { + double t = 2*y100 - 187; + return 0.78191222288771379358e-1 + (-0.63914190297303976434e-2 + (0.29079759021299682675e-4 + (0.97885458059415717014e-8 + (-0.15635596116134296819e-8 + (0.17417110744051331974e-10 - 0.12591151763555555556e-12 * t) * t) * t) * t) * t) * t; + } + case 94: { + double t = 2*y100 - 189; + return 0.65524757106147402224e-1 + (-0.62750311956082444159e-2 + (0.29102328354323449795e-4 + (-0.20430838882727954582e-8 + (-0.13967781903855367270e-8 + (0.15958771833747057569e-10 - 0.11720175765333333333e-12 * t) * t) * t) * t) * t) * t; + } + case 95: { + double t = 2*y100 - 191; + return 0.53091065838453612773e-1 + (-0.61586898417077043662e-2 + (0.29057796072960100710e-4 + (-0.12597414620517987536e-7 + (-0.12440642607426861943e-8 + (0.14602787128447932137e-10 - 0.10885859114666666667e-12 * t) * t) * t) * t) * t) * t; + } + case 96: { + double t = 2*y100 - 193; + return 0.40889797115352738582e-1 + (-0.60426484889413678200e-2 + (0.28953496450191694606e-4 + (-0.21982952021823718400e-7 + (-0.11044169117553026211e-8 + (0.13344562332430552171e-10 - 0.10091231402844444444e-12 * t) * t) * t) * t) * t) * t; + } + case 97: case 98: + case 99: case 100: { // use Taylor expansion for small x (|x| <= 0.0309...) + // (2/sqrt(pi)) * (x - 2/3 x^3 + 4/15 x^5 - 8/105 x^7 + 16/945 x^9) + double x2 = x*x; + return x * (1.1283791670955125739 + - x2 * (0.75225277806367504925 + - x2 * (0.30090111122547001970 + - x2 * (0.085971746064420005629 + - x2 * 0.016931216931216931217)))); + } + } + /* Since 0 <= y100 < 101, this is only reached if x is NaN, + in which case we should return NaN. */ + return NaN; +} // w_im_y100 + +/******************************************************************************/ +/* Library function im_w_of_z */ +/******************************************************************************/ + +double im_w_of_x(double x) +{ + + // Steven G. Johnson, October 2012. + + // Uses methods similar to the erfcx calculation: + // continued fractions for large |x|, + // a lookup table of Chebyshev polynomials for smaller |x|, + // and finally a Taylor expansion for |x|<0.01. + + const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi) + + if (x >= 0) { + if (x > 45) { + // continued-fraction expansion is faster + if (x > 5e7) { + // 1-term expansion, important to avoid overflow + return ispi / x; + } else { + // 5-term expansion (rely on compiler for CSE), simplified from: ispi / (x-0.5/(x-1/(x-1.5/(x-2/x)))) + return ispi*((x*x) * (x*x-4.5) + 2) / (x * ((x*x) * (x*x-5) + 3.75)); + } + } else { + return w_im_y100(100/(1+x), x); + } + } else { + // = -im_w_of_x(-x) + if (x < -45) { + // continued-fraction expansion is faster + if (x < -5e7) { + // 1-term expansion, important to avoid overflow + return ispi / x; + } else { + // 5-term expansion (rely on compiler for CSE), simplified from: ispi / (x-0.5/(x-1/(x-1.5/(x-2/x)))) + return ispi*((x*x) * (x*x-4.5) + 2) / (x * ((x*x) * (x*x-5) + 3.75)); + } + } else { + return -w_im_y100(100/(1-x), -x); + } + } +} + +// im_w_of_z diff --git a/source/luametatex/source/libraries/libcerf/readme-luametatex.txt b/source/luametatex/source/libraries/libcerf/readme-luametatex.txt new file mode 100644 index 000000000..bb552f263 --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/readme-luametatex.txt @@ -0,0 +1,26 @@ +LS, + +In the following files you can find the comment below. We don't want to bother or burden the +original authors with our problems. The cerf code is mostly used in MetaFun macros (by Alan +Braslau). The c.h and cpp.h files are gone. + + defs.h + cerf.h + +--------------------------------------------------------------------------------------------- +This file is patched by Mojca Miklavec and Hans Hagen for usage in LuaMetaTeX where we use +only C and also want to compile with the Microsoft compiler. So, when updating this library +one has to check for changes. Not that we expect many as this is a rather stable library. + +In the other files there are a few macros used that deal with the multiplication and addition +of complex and real nmbers. Of course the original code is kept as-is. +--------------------------------------------------------------------------------------------- + +So, when updating the library you need to diff for the changes that are needed in order to +compile the files with the Microsoft compiler. + +At some point I might patch the files so that we can intercept error messages in a way that +permits recovery and also plugs them into our normal message handlers. Maybe I should also +merge the code into just one file because it doesn't change. + +Hans diff --git a/source/luametatex/source/libraries/libcerf/w_of_z.c b/source/luametatex/source/libraries/libcerf/w_of_z.c new file mode 100644 index 000000000..33778979c --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/w_of_z.c @@ -0,0 +1,393 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File w_of_z.c: + * Computation of Faddeeva's complex scaled error function, + * w(z) = exp(-z^2) * erfc(-i*z), + * nameless function (7.1.3) of Abramowitz&Stegun (1964), + * also known as the plasma dispersion function. + * + * This implementation uses a combination of different algorithms. + * See man 3 w_of_z for references. + * + * Copyright: + * (C) 2012 Massachusetts Institute of Technology + * (C) 2013 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Steven G. Johnson, Massachusetts Institute of Technology, 2012, core author + * Joachim Wuttke, Forschungszentrum Jülich, 2013, package maintainer + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Man page: + * w_of_z(3) + */ + +/* + + Todo: use local declarations (older compilers) (HH). + +*/ + +/* + Computes various error functions (erf, erfc, erfi, erfcx), + including the Dawson integral, in the complex plane, based + on algorithms for the computation of the Faddeeva function + w(z) = exp(-z^2) * erfc(-i*z). + Given w(z), the error functions are mostly straightforward + to compute, except for certain regions where we have to + switch to Taylor expansions to avoid cancellation errors + [e.g. near the origin for erf(z)]. + +*/ + +#include "cerf.h" +#include <float.h> +#include <math.h> +#include "defs.h" // defines _cerf_cmplx, NaN, C, cexp, ... + +// for analysing the algorithm: +EXPORT int faddeeva_algorithm; +EXPORT int faddeeva_nofterms; + +/******************************************************************************/ +/* auxiliary functions */ +/******************************************************************************/ + +static inline double sinc(double x, double sinx) +{ + // return sinc(x) = sin(x)/x, given both x and sin(x) + // [since we only use this in cases where sin(x) has already been computed] + return fabs(x) < 1e-4 ? 1 - (0.1666666666666666666667)*x*x : sinx / x; +} + +static inline double sinh_taylor(double x) +{ + // sinh(x) via Taylor series, accurate to machine precision for |x| < 1e-2 + return x * (1 + (x*x) * (0.1666666666666666666667 + 0.00833333333333333333333 * (x*x))); +} + +static inline double sqr(double x) { return x*x; } + +/******************************************************************************/ +/* precomputed table of expa2n2[n-1] = exp(-a2*n*n) */ +/* for double-precision a2 = 0.26865... in w_of_z, below. */ +/******************************************************************************/ + +static const double expa2n2[] = { + 7.64405281671221563e-01, + 3.41424527166548425e-01, + 8.91072646929412548e-02, + 1.35887299055460086e-02, + 1.21085455253437481e-03, + 6.30452613933449404e-05, + 1.91805156577114683e-06, + 3.40969447714832381e-08, + 3.54175089099469393e-10, + 2.14965079583260682e-12, + 7.62368911833724354e-15, + 1.57982797110681093e-17, + 1.91294189103582677e-20, + 1.35344656764205340e-23, + 5.59535712428588720e-27, + 1.35164257972401769e-30, + 1.90784582843501167e-34, + 1.57351920291442930e-38, + 7.58312432328032845e-43, + 2.13536275438697082e-47, + 3.51352063787195769e-52, + 3.37800830266396920e-57, + 1.89769439468301000e-62, + 6.22929926072668851e-68, + 1.19481172006938722e-73, + 1.33908181133005953e-79, + 8.76924303483223939e-86, + 3.35555576166254986e-92, + 7.50264110688173024e-99, + 9.80192200745410268e-106, + 7.48265412822268959e-113, + 3.33770122566809425e-120, + 8.69934598159861140e-128, + 1.32486951484088852e-135, + 1.17898144201315253e-143, + 6.13039120236180012e-152, + 1.86258785950822098e-160, + 3.30668408201432783e-169, + 3.43017280887946235e-178, + 2.07915397775808219e-187, + 7.36384545323984966e-197, + 1.52394760394085741e-206, + 1.84281935046532100e-216, + 1.30209553802992923e-226, + 5.37588903521080531e-237, + 1.29689584599763145e-247, + 1.82813078022866562e-258, + 1.50576355348684241e-269, + 7.24692320799294194e-281, + 2.03797051314726829e-292, + 3.34880215927873807e-304, + 0.0 // underflow (also prevents reads past array end, below) +}; // expa2n2 + +/******************************************************************************/ +/* w_of_z, Faddeeva's scaled complex error function */ +/******************************************************************************/ + +_cerf_cmplx w_of_z(_cerf_cmplx z) +{ + faddeeva_nofterms = 0; + + // Steven G. Johnson, October 2012. + + if (creal(z) == 0.0) { + // Purely imaginary input, purely real output. + // However, use creal(z) to give correct sign of 0 in cimag(w). + return C(erfcx(cimag(z)), creal(z)); + } + if (cimag(z) == 0) { + // Purely real input, complex output. + return C(exp(-sqr(creal(z))), im_w_of_x(creal(z))); + } + + const double relerr = DBL_EPSILON; + const double a = 0.518321480430085929872; // pi / sqrt(-log(eps*0.5)) + const double c = 0.329973702884629072537; // (2/pi) * a; + const double a2 = 0.268657157075235951582; // a^2 + + const double x = fabs(creal(z)); + const double y = cimag(z); + const double ya = fabs(y); + + _cerf_cmplx ret = C(0., 0.); // return value + + double sum1 = 0, sum2 = 0, sum3 = 0, sum4 = 0, sum5 = 0; + + if (ya > 7 || (x > 6 // continued fraction is faster + /* As pointed out by M. Zaghloul, the continued + fraction seems to give a large relative error in + Re w(z) for |x| ~ 6 and small |y|, so use + algorithm 816 in this region: */ + && (ya > 0.1 || (x > 8 && ya > 1e-10) || x > 28))) { + + faddeeva_algorithm = 100; + + /* Poppe & Wijers suggest using a number of terms + nu = 3 + 1442 / (26*rho + 77) + where rho = sqrt((x/x0)^2 + (y/y0)^2) where x0=6.3, y0=4.4. + (They only use this expansion for rho >= 1, but rho a little less + than 1 seems okay too.) + Instead, I did my own fit to a slightly different function + that avoids the hypotenuse calculation, using NLopt to minimize + the sum of the squares of the errors in nu with the constraint + that the estimated nu be >= minimum nu to attain machine precision. + I also separate the regions where nu == 2 and nu == 1. */ + const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi) + double xs = y < 0 ? -creal(z) : creal(z); // compute for -z if y < 0 + if (x + ya > 4000) { // nu <= 2 + if (x + ya > 1e7) { // nu == 1, w(z) = i/sqrt(pi) / z + // scale to avoid overflow + if (x > ya) { + faddeeva_algorithm += 1; + double yax = ya / xs; + faddeeva_algorithm = 100; + double denom = ispi / (xs + yax*ya); + ret = C(denom*yax, denom); + } + else if (isinf(ya)) { + faddeeva_algorithm += 2; + return ((isnan(x) || y < 0) + ? C(NaN,NaN) : C(0,0)); + } + else { + faddeeva_algorithm += 3; + double xya = xs / ya; + double denom = ispi / (xya*xs + ya); + ret = C(denom, denom*xya); + } + } + else { // nu == 2, w(z) = i/sqrt(pi) * z / (z*z - 0.5) + faddeeva_algorithm += 4; + double dr = xs*xs - ya*ya - 0.5, di = 2*xs*ya; + double denom = ispi / (dr*dr + di*di); + ret = C(denom * (xs*di-ya*dr), denom * (xs*dr+ya*di)); + } + } + else { // compute nu(z) estimate and do general continued fraction + faddeeva_algorithm += 5; + const double c0=3.9, c1=11.398, c2=0.08254, c3=0.1421, c4=0.2023; // fit + double nu = floor(c0 + c1 / (c2*x + c3*ya + c4)); + double wr = xs, wi = ya; + for (nu = 0.5 * (nu - 1); nu > 0.4; nu -= 0.5) { + // w <- z - nu/w: + double denom = nu / (wr*wr + wi*wi); + wr = xs - wr * denom; + wi = ya + wi * denom; + } + { // w(z) = i/sqrt(pi) / w: + double denom = ispi / (wr*wr + wi*wi); + ret = C(denom*wi, denom*wr); + } + } + if (y < 0) { + faddeeva_algorithm += 10; + // use w(z) = 2.0*exp(-z*z) - w(-z), + // but be careful of overflow in exp(-z*z) + // = exp(-(xs*xs-ya*ya) -2*i*xs*ya) + return complex_sub_cc(complex_mul_rc(2.0,cexp(C((ya-xs)*(xs+ya), 2*xs*y))), ret); + } + else + return ret; + } + + /* Note: The test that seems to be suggested in the paper is x < + sqrt(-log(DBL_MIN)), about 26.6, since otherwise exp(-x^2) + underflows to zero and sum1,sum2,sum4 are zero. However, long + before this occurs, the sum1,sum2,sum4 contributions are + negligible in double precision; I find that this happens for x > + about 6, for all y. On the other hand, I find that the case + where we compute all of the sums is faster (at least with the + precomputed expa2n2 table) until about x=10. Furthermore, if we + try to compute all of the sums for x > 20, I find that we + sometimes run into numerical problems because underflow/overflow + problems start to appear in the various coefficients of the sums, + below. Therefore, we use x < 10 here. */ + else if (x < 10) { + + faddeeva_algorithm = 200; + + double prod2ax = 1, prodm2ax = 1; + double expx2; + + if (isnan(y)) { + faddeeva_algorithm += 99; + return C(y,y); + } + + if (x < 5e-4) { // compute sum4 and sum5 together as sum5-sum4 + // This special case is needed for accuracy. + faddeeva_algorithm += 1; + const double x2 = x*x; + expx2 = 1 - x2 * (1 - 0.5*x2); // exp(-x*x) via Taylor + // compute exp(2*a*x) and exp(-2*a*x) via Taylor, to double precision + const double ax2 = 1.036642960860171859744*x; // 2*a*x + const double exp2ax = + 1 + ax2 * (1 + ax2 * (0.5 + 0.166666666666666666667*ax2)); + const double expm2ax = + 1 - ax2 * (1 - ax2 * (0.5 - 0.166666666666666666667*ax2)); + for (int n = 1; ; ++n) { + ++faddeeva_nofterms; + const double coef = expa2n2[n-1] * expx2 / (a2*(n*n) + y*y); + prod2ax *= exp2ax; + prodm2ax *= expm2ax; + sum1 += coef; + sum2 += coef * prodm2ax; + sum3 += coef * prod2ax; + + // really = sum5 - sum4 + sum5 += coef * (2*a) * n * sinh_taylor((2*a)*n*x); + + // test convergence via sum3 + if (coef * prod2ax < relerr * sum3) break; + } + } + else { // x > 5e-4, compute sum4 and sum5 separately + faddeeva_algorithm += 2; + expx2 = exp(-x*x); + const double exp2ax = exp((2*a)*x), expm2ax = 1 / exp2ax; + for (int n = 1; ; ++n) { + ++faddeeva_nofterms; + const double coef = expa2n2[n-1] * expx2 / (a2*(n*n) + y*y); + prod2ax *= exp2ax; + prodm2ax *= expm2ax; + sum1 += coef; + sum2 += coef * prodm2ax; + sum4 += (coef * prodm2ax) * (a*n); + sum3 += coef * prod2ax; + sum5 += (coef * prod2ax) * (a*n); + // test convergence via sum5, since this sum has the slowest decay + if ((coef * prod2ax) * (a*n) < relerr * sum5) break; + } + } + const double expx2erfcxy = // avoid spurious overflow for large negative y + y > -6 // for y < -6, erfcx(y) = 2*exp(y*y) to double precision + ? expx2*erfcx(y) : 2*exp(y*y-x*x); + if (y > 5) { // imaginary terms cancel + faddeeva_algorithm += 10; + const double sinxy = sin(x*y); + ret = C((expx2erfcxy - c*y*sum1) * cos(2*x*y) + (c*x*expx2) * sinxy * sinc(x*y, sinxy), 0.0); + } + else { + faddeeva_algorithm += 20; + double xs = creal(z); + const double sinxy = sin(xs*y); + const double sin2xy = sin(2*xs*y), cos2xy = cos(2*xs*y); + const double coef1 = expx2erfcxy - c*y*sum1; + const double coef2 = c*xs*expx2; + ret = C(coef1 * cos2xy + coef2 * sinxy * sinc(xs*y, sinxy), + coef2 * sinc(2*xs*y, sin2xy) - coef1 * sin2xy); + } + } + else { // x large: only sum3 & sum5 contribute (see above note) + + faddeeva_algorithm = 300; + + if (isnan(x)) + return C(x,x); + if (isnan(y)) + return C(y,y); + + ret = C(exp(-x*x),0.0); // |y| < 1e-10, so we only need exp(-x*x) term + // (round instead of ceil as in original paper; note that x/a > 1 here) + double n0 = floor(x/a + 0.5); // sum in both directions, starting at n0 + double dx = a*n0 - x; + sum3 = exp(-dx*dx) / (a2*(n0*n0) + y*y); + sum5 = a*n0 * sum3; + double exp1 = exp(4*a*dx), exp1dn = 1; + int dn; + for (dn = 1; n0 - dn > 0; ++dn) { // loop over n0-dn and n0+dn terms + double np = n0 + dn, nm = n0 - dn; + double tp = exp(-sqr(a*dn+dx)); + double tm = tp * (exp1dn *= exp1); // trick to get tm from tp + tp /= (a2*(np*np) + y*y); + tm /= (a2*(nm*nm) + y*y); + sum3 += tp + tm; + sum5 += a * (np * tp + nm * tm); + if (a * (np * tp + nm * tm) < relerr * sum5) goto finish; + } + while (1) { // loop over n0+dn terms only (since n0-dn <= 0) + double np = n0 + dn++; + double tp = exp(-sqr(a*dn+dx)) / (a2*(np*np) + y*y); + sum3 += tp; + sum5 += a * np * tp; + if (a * np * tp < relerr * sum5) goto finish; + } + } +finish: + return complex_add_cc(ret, C((0.5*c)*y*(sum2+sum3),(0.5*c)*copysign(sum5-sum4, creal(z)))); +} // w_of_z diff --git a/source/luametatex/source/libraries/libcerf/width.c b/source/luametatex/source/libraries/libcerf/width.c new file mode 100644 index 000000000..a844377ff --- /dev/null +++ b/source/luametatex/source/libraries/libcerf/width.c @@ -0,0 +1,100 @@ +/* Library libcerf: + * Compute complex error functions, based on a new implementation of + * Faddeeva's w_of_z. Also provide Dawson and Voigt functions. + * + * File width.c: + * Computate voigt_hwhm, using Newton's iteration. + * + * Copyright: + * (C) 2018 Forschungszentrum Jülich GmbH + * + * Licence: + * Permission is hereby granted, free of charge, to any person obtaining + * a copy of this software and associated documentation files (the + * "Software"), to deal in the Software without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Software, and to + * permit persons to whom the Software is furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be + * included in all copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE + * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION + * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + * + * Authors: + * Joachim Wuttke, Forschungszentrum Jülich, 2018 + * + * Website: + * http://apps.jcns.fz-juelich.de/libcerf + * + * Revision history: + * ../CHANGELOG + * + * Man pages: + * voigt_fwhm(3) + */ + +/* + + This file is patched by Hans Hagen for usage in LuaMetaTeX where we don't want to exit on an + error so we intercept it. + +*/ + +#include "cerf.h" +#include <math.h> +#include <stdio.h> +#include <stdlib.h> + +double dvoigt(double x, double sigma, double gamma, double v0) +{ + return voigt(x, sigma, gamma)/v0 - .5; +} + +double voigt_hwhm(double sigma, double gamma, int *error) +{ + *error = 0; + if (sigma == 0 && gamma == 0) { + return 0; + } else if (isnan(sigma) || isnan(gamma)) { + *error = 1; + return 0; // return NAN; + } else { + // start from an excellent approximation [Olivero & Longbothum, J Quant Spec Rad Transf 1977]: + const double eps = 1e-14; + const double hwhm0 = .5*(1.06868*gamma+sqrt(0.86743*gamma*gamma+4*2*log(2)*sigma*sigma)); + const double del = eps*hwhm0; + double ret = hwhm0; + const double v0 = voigt(0, sigma, gamma); + for (int i=0; i<300; ++i) { + double val = dvoigt(ret, sigma, gamma, v0); + if (fabs(val) < 1e-15) { + return ret; + } else { + double step = -del/(dvoigt(ret+del, sigma, gamma, v0)/val-1); + double nxt = ret + step; + if (nxt < ret/3) { + *error = 2; // fprintf(stderr, "voigt_fwhm terminated because of huge deviation from 1st approx\n"); + nxt = ret/3; + } else if (nxt > 2*ret) { + *error = 2; // fprintf(stderr, "voigt_fwhm terminated because of huge deviation from 1st approx\n"); + nxt = 2*ret; + } + if (fabs(ret-nxt) < del) { + return nxt; + } else { + ret = nxt; + } + } + } + *error = 3; // fprintf(stderr, "voigt_fwhm failed: Newton's iteration did not converge with sigma = %f and gamma = %f\n", sigma, gamma); exit(-1); + return 0; + } +} |