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26<div class="titlepage"><div><div><h2 class="title" style="clear: both">
27<a name="math_toolkit.credits"></a><a class="link" href="credits.html" title="Credits and Acknowledgements">Credits and Acknowledgements</a>
28</h2></div></div></div>
29<div class="note"><table border="0" summary="Note">
30<tr>
31<td rowspan="2" align="center" valign="top" width="25"><img alt="[Note]" src="../../../../../doc/src/images/note.png"></td>
32<th align="left">Note</th>
33</tr>
34<tr><td align="left" valign="top"><p>
35        This section should be read with the 'What's New' section that gives much
36        detail on changes for each release.
37      </p></td></tr>
38</table></div>
39<p>
40      Hubert Holin started the Boost.Math library. The Quaternions, Octonions, inverse
41      hyperbolic functions, and the sinus cardinal functions are his.
42    </p>
43<p>
44      Daryle Walker wrote the integer gcd and lcm functions.
45    </p>
46<p>
47      John Maddock started the special functions, the beta, gamma, erf, polynomial,
48      and factorial functions are his, as is the "Toolkit" section, and
49      many of the statistical distributions.
50    </p>
51<p>
52      Paul A. Bristow threw down the challenge in <a href="http://www2.open-std.org/JTC1/SC22/WG21/docs/papers/2004/n1668.pdf" target="_top">A
53      Proposal to add Mathematical Functions for Statistics to the C++ Standard Library</a>
54      to add the key math functions, especially those essential for statistics. After
55      JM accepted and solved the difficult problems, not only numerically, but in
56      full C++ template style, PAB implemented a few of the statistical distributions.
57      PAB also tirelessly proof-read everything that JM threw at him (so that all
58      remaining editorial mistakes are his fault).
59    </p>
60<p>
61      Xiaogang Zhang worked on the Bessel functions and elliptic integrals for his
62      Google Summer of Code project 2006.
63    </p>
64<p>
65      Bruno Lalande submitted the "compile time power of a runtime base"
66      code.
67    </p>
68<p>
69      Johan Råde wrote the optimised floating-point classification and manipulation
70      code, and nonfinite facets to permit C99 output of infinities and NaNs. (nonfinite
71      facets were not added until Boost 1.47 but had been in use with Boost.Spirit).
72      This library was based on a suggestion from Robert Ramey, author of Boost.Serialization.
73      Paul A. Bristow expressed the need for better handling of <a href="http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2006/n2022.pdf" target="_top">Input
74      &amp; Output of NaN and infinity for the C++ Standard Library</a> and suggested
75      following the C99 format.
76    </p>
77<p>
78      Antony Polukhin improved lexical cast avoiding stringstream so that it was
79      no longer necessary to use a globale C99 facet to handle nonfinites.
80    </p>
81<p>
82      Håkan Ardö, Boris Gubenko, John Maddock, Markus Schöpflin and Olivier Verdier
83      tested the floating-point library and Martin Bonner, Peter Dimov and John Maddock
84      provided valuable advice.
85    </p>
86<p>
87      Gautam Sewani coded the logistic distribution as part of a Google Summer of
88      Code project 2008.
89    </p>
90<p>
91      M. A. (Thijs) van den Berg coded the Laplace distribution. (Thijs has also
92      threatened to implement some multivariate distributions).
93    </p>
94<p>
95      Thomas Mang requested the inverse gamma in chi squared distributions for Bayesian
96      applications and helped in their implementation, and provided a nice example
97      of their use.
98    </p>
99<p>
100      Professor Nico Temme for advice on the inverse incomplete beta function.
101    </p>
102<p>
103      <a href="http://www.shoup.net" target="_top">Victor Shoup for NTL</a>, without which
104      it would have much more difficult to produce high accuracy constants, and especially
105      the tables of accurate values for testing.
106    </p>
107<p>
108      We are grateful to Joel Guzman for helping us stress-test his <a href="http://www.boost.org/tools/quickbook/index.htm" target="_top">Boost.Quickbook</a>
109      program used to generate the html and pdf versions of this document, adding
110      several new features en route.
111    </p>
112<p>
113      Plots of the functions and distributions were prepared in <a href="http://www.w3.org/" target="_top">W3C</a>
114      standard <a href="http://www.svg.org/" target="_top">Scalable Vector Graphic (SVG)</a>
115      format using a program created by Jacob Voytko during a <a href="http://code.google.com/soc/2007/" target="_top">Google
116      Summer of Code (2007)</a>. From 2012, the latest versions of all Internet
117      Browsers have support for rendering SVG (with varying quality). Older versions,
118      especially (Microsoft Internet Explorer (before IE 9) lack native SVG support
119      but can be made to work with <a href="http://www.adobe.com/svg/viewer/install/" target="_top">Adobe's
120      free SVG viewer</a> plugin). The SVG files can be converted to JPEG or
121      PNG using <a href="http://www.inkscape.org/" target="_top">Inkscape</a>.
122    </p>
123<p>
124      We are also indebted to Matthias Schabel for managing the formal Boost-review
125      of this library, and to all the reviewers - including Guillaume Melquiond,
126      Arnaldur Gylfason, John Phillips, Stephan Tolksdorf and Jeff Garland - for
127      their many helpful comments.
128    </p>
129<p>
130      Thanks to Mark Coleman and Georgi Boshnakov for spot test values from <a href="http://www.wolfram.com/products/mathematica/index.html" target="_top">Wolfram Mathematica</a>,
131      and of course, to Eric Weisstein for nurturing <a href="http://mathworld.wolfram.com" target="_top">Wolfram
132      MathWorld</a>, an invaluable resource.
133    </p>
134<p>
135      The Skew-normal distribution and Owen's t function were written by Benjamin
136      Sobotta.
137    </p>
138<p>
139      We thank Thomas Mang for persuading us to allow t distributions to have infinite
140      degrees of freedom and contributing to some long discussions about how to improve
141      accuracy for large non-centrality and/or large degrees of freedom.
142    </p>
143<p>
144      Christopher Kormanyos wrote the e_float multiprecision library <a href="http://portal.acm.org/citation.cfm?id=1916469" target="_top">TOMS
145      Algorithm 910: A Portable C++ Multiple-Precision System for Special-Function
146      Calculations</a> which formed the basis for the Boost.Multiprecision library
147      which now can be used to allow most functions and distributions to be computed
148      up to a precision of the users' choice, no longer restricted to built-in floating-point
149      types like double. (And thanks to Topher Cooper for bring Christopher's e_float
150      to our attention).
151    </p>
152<p>
153      Christopher Kormanyos wrote some examples for using <a href="../../../../../libs/multiprecision/doc/html/index.html" target="_top">Boost.Multiprecision</a>,
154      and added methods for finding zeros of Bessel Functions.
155    </p>
156<p>
157      Marco Guazzone provided the hyper-geometric distribution.
158    </p>
159<p>
160      Rocco Romeo has found numerous small bugs and generally stress tested the special
161      functions code to near destruction!
162    </p>
163<p>
164      Jeremy William Murphy added polynomial arithmetic tools.
165    </p>
166<p>
167      Thomas Luu provided improvements to the quantile of the non-central chi squared
168      distribution quantile. and his thesis * <a href="http://discovery.ucl.ac.uk/1482128/" target="_top">Fast
169      and accurate parallel computation of quantile functions for random number generation,
170      2016</a>.
171    </p>
172<p>
173      and his paper
174    </p>
175<p>
176      Luu, Thomas; (2015), Efficient and Accurate Parallel Inversion of the Gamma
177      Distribution, SIAM Journal on Scientific Computing , 37 (1) C122 - C141, <a href="https://doi.org/10.1137/14095875X" target="_top">https://doi.org/10.1137/14095875X</a>.
178    </p>
179<p>
180      These also promise to help improve algorithms for computation of quantile of
181      several distributions, especially for parallel computation using GPUs.
182    </p>
183<p>
184      Nicolas Thompson added much code to handle quadrature and interpolation and
185      more statistical tools.
186    </p>
187<p>
188      Matthew Pulver provided the automatic differentiation section for inclusion
189      in Boost.Math.
190    </p>
191</div>
192<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
193<td align="left"></td>
194<td align="right"><div class="copyright-footer">Copyright © 2006-2019 Nikhar
195      Agrawal, Anton Bikineev, Paul A. Bristow, Marco Guazzone, Christopher Kormanyos,
196      Hubert Holin, Bruno Lalande, John Maddock, Jeremy Murphy, Matthew Pulver, Johan
197      Råde, Gautam Sewani, Benjamin Sobotta, Nicholas Thompson, Thijs van den Berg,
198      Daryle Walker and Xiaogang Zhang<p>
199        Distributed under the Boost Software License, Version 1.0. (See accompanying
200        file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
201      </p>
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