Boost logo

Boost :

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.
|
|
|
|
| _______________________________________________
| Unsubscribe & other changes:
| http://lists.boost.org/mailman/listinfo.cgi/boost
|


Boost list run by bdawes at acm.org, gregod at cs.rpi.edu, cpdaniel at pacbell.net, john at johnmaddock.co.uk