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- [section:credits Credits and Acknowledgements]
- [note This section should be read with the 'What's New' section that gives much detail on changes for each release.]
- Hubert Holin started the Boost.Math library. The
- Quaternions, Octonions, inverse
- hyperbolic functions, and the sinus cardinal functions are his.
- Daryle Walker wrote the integer gcd and lcm functions.
- John Maddock started the special functions, the beta, gamma, erf, polynomial,
- and factorial functions are his, as is the "Toolkit" section, and many
- of the statistical distributions.
- Paul A. Bristow threw down the challenge in
- [@http://www2.open-std.org/JTC1/SC22/WG21/docs/papers/2004/n1668.pdf
- A Proposal to add Mathematical Functions for Statistics to the C++
- Standard Library] to add the key math functions, especially those essential for
- statistics. After JM accepted and solved the difficult problems,
- not only numerically, but in full C++ template style, PAB
- implemented a few of the statistical distributions. PAB also tirelessly
- proof-read everything that JM threw at him (so that all
- remaining editorial mistakes are his fault).
- Xiaogang Zhang worked on the Bessel functions and elliptic integrals for his
- Google Summer of Code project 2006.
- Bruno Lalande submitted the "compile time power of a runtime base" code.
- Johan R'''å'''de wrote the optimised floating-point classification
- and manipulation code, and nonfinite facets to permit C99 output of infinities and NaNs.
- (nonfinite facets were not added until Boost 1.47 but had been in use with Boost.Spirit).
- This library was based on a suggestion from Robert Ramey, author of Boost.Serialization.
- Paul A. Bristow expressed the need for better handling of
- [@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n2022.pdf
- Input & Output of NaN and infinity for the C++ Standard Library]
- and suggested following the C99 format.
- Antony Polukhin improved lexical cast avoiding stringstream so that
- it was no longer necessary to use a globale C99 facet to handle nonfinites.
- H'''å'''kan Ard'''ö''',
- Boris Gubenko, John Maddock,
- Markus Sch'''ö'''pflin
- and Olivier Verdier tested the floating-point library and
- Martin Bonner, Peter Dimov and John Maddock provided valuable advice.
- Gautam Sewani coded the logistic distribution as part of a Google Summer of Code project 2008.
- M. A. (Thijs) van den Berg coded the Laplace distribution.
- (Thijs has also threatened to implement some multivariate distributions).
- Thomas Mang requested the inverse gamma in chi squared distributions
- for Bayesian applications and helped in their implementation,
- and provided a nice example of their use.
- Professor Nico Temme for advice on the inverse incomplete beta function.
- [@http://www.shoup.net Victor Shoup for NTL],
- without which it would have much more difficult to
- produce high accuracy constants, and especially
- the tables of accurate values for testing.
- We are grateful to Joel Guzman for helping us stress-test his
- [@http://www.boost.org/tools/quickbook/index.htm Boost.Quickbook]
- program used to generate the html and pdf versions
- of this document, adding several new features en route.
- Plots of the functions and distributions were prepared in
- [@http://www.w3.org/ W3C] standard
- [@http://www.svg.org/ Scalable Vector Graphic (SVG)] format
- using a program created by Jacob Voytko during a
- [@http://code.google.com/soc/2007/ Google Summer of Code (2007)].
- From 2012, the latest versions of all Internet Browsers have support
- for rendering SVG (with varying quality). Older versions, especially
- (Microsoft Internet Explorer (before IE 9) lack native SVG support
- but can be made to work with
- [@http://www.adobe.com/svg/viewer/install/ Adobe's free SVG viewer] plugin).
- The SVG files can be converted to JPEG or PNG using
- [@http://www.inkscape.org/ Inkscape].
- We are also indebted to Matthias Schabel for managing the formal Boost-review
- of this library, and to all the reviewers - including Guillaume Melquiond,
- Arnaldur Gylfason, John Phillips, Stephan Tolksdorf and Jeff Garland
- - for their many helpful comments.
- Thanks to Mark Coleman and Georgi Boshnakov for spot test values
- from __Mathematica, and of course,
- to Eric Weisstein for nurturing __Mathworld, an invaluable resource.
- The Skew-normal distribution and Owen's t function were written by Benjamin Sobotta.
- We thank Thomas Mang for persuading us to allow t distributions
- to have infinite degrees of freedom
- and contributing to some long discussions about how to improve accuracy
- for large non-centrality and/or large degrees of freedom.
- Christopher Kormanyos wrote the e_float multiprecision library __TOMS910
- which formed the basis for the Boost.Multiprecision library
- which now can be used to allow most functions and distributions
- to be computed up to a precision of the users' choice,
- no longer restricted to built-in floating-point types like double.
- (And thanks to Topher Cooper for bring Christopher's e_float to our attention).
- Christopher Kormanyos wrote some examples for using __multiprecision,
- and added methods for finding zeros of Bessel Functions.
- Marco Guazzone provided the hyper-geometric distribution.
- Rocco Romeo has found numerous small bugs and generally stress tested the
- special functions code to near destruction!
- Jeremy William Murphy added polynomial arithmetic tools.
- Thomas Luu provided improvements to the quantile of the non-central chi squared distribution quantile.
- and his thesis
- * [@http://discovery.ucl.ac.uk/1482128/ Fast and accurate parallel computation of quantile functions for random number generation, 2016].
- and his paper
- Luu, Thomas; (2015), Efficient and Accurate Parallel Inversion of the Gamma Distribution,
- SIAM Journal on Scientific Computing , 37 (1) C122 - C141,
- [@https://doi.org/10.1137/14095875X].
- These also promise to help improve algorithms for computation of quantile of several distributions,
- especially for parallel computation using GPUs.
- Nicolas Thompson added much code to handle quadrature and interpolation and more statistical tools.
- Matthew Pulver provided the automatic differentiation section for inclusion in Boost.Math.
- [endsect] [/section:credits Credits and Acknowledgements]
- [/
- Copyright 2006, 2007, 2008, 2009, 2010, 2012, 2013, 2015, 2016 John Maddock and Paul A. Bristow.
- Distributed under the Boost Software License, Version 1.0.
- (See accompanying file LICENSE_1_0.txt or copy at
- http://www.boost.org/LICENSE_1_0.txt).
- ]
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