Re: [boost] Ann: Statistical distributions / Mathematical SpecialFunctions

From: Paul A Bristow (pbristow_at_[hidden])
Date: 2006-10-05 05:48:58

Looks fine.

Paul
 

|  -----Original Message-----
|  From: boost-bounces_at_[hidden] 
|  [mailto:boost-bounces_at_[hidden]] On Behalf Of John Maddock
|  Sent: 04 October 2006 18:43
|  To: Boost mailing list; boost-users; boost-announce
|  Subject: [boost] Ann: Statistical distributions / 
|  Mathematical SpecialFunctions
|  
|  This package consists of 3 related components, and we're now 
|  seeking further 
|  feedback on these before the final push prior to a review:
|  
|  Statistical Distributions
|  ~~~~~~~~~~~~~~~~~~~~~~~~~
|  
|  Following feedback from the previous preview,  we have re-organised
|  so that distributions are now C++ classes.
|  
|  See the docs and especially the tutorial for illustrations on how
|  this will be useful in real life.
|  
|  We would especially welcome feedback from those with experience of
|  using statistics, and indeed from professional statisticians who are
|  probably not Boosters.
|  
|  Mathematical Special Functions
|  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|  
|  These are currently focused on those functions that are useful for
|  statistical applications:
|  
|  Floating point classification.
|  Gamma/lgamma/digamma/beta/erf/erfc
|  Ratios of gamma functions
|  Factorials
|  The incomplete gamma and beta functions.
|  The inverses of the gamma, beta, and error functions.
|  Derivatives of the incomplete gamma and beta functions.
|  
|  Compared to the previous release, most of the changes 
|  involve accuracy and
|  quality of implementation issues.  Error handling has now 
|  been revised to
|  provide a comprehensive package-wide error handling scheme 
|  complete with
|  meaningful error messages.
|  
|  Toolkit
|  ~~~~~~~
|  
|  Provides tools to assist in the implementation of numerical methods:
|  
|  Infinite series evaluation.
|  Continued fraction evaluation.
|  Polynomial and rational function evaluation.
|  Root finding with derivatives (Newton/Halley/Schroeder methods).
|  Root finding without derivatives.
|  Function minimisation.
|  
|  Misc Tools
|  ~~~~~~~~~~
|  
|  These are strictly experimental, but are used in the development of
|  approximations: they are provided to hopefully encourage 
|  others to develop
|  further special function implementations.  Tools include:
|  
|  Polynomial arithmetic and manipulation.
|  Minimax approximations (the Remez algorithm).
|  Helper functions used in testing etc.
|  
|  Documentation and source downloads are available online at 
|  www.johnmaddock.co.uk/toolkit
|  
|  Regards,
|  
|  John Maddock.
|  
|  
|  
|  
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