Looks fine. Paul | -----Original Message----- | From: boost-bounces@lists.boost.org | [mailto:boost-bounces@lists.boost.org] 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 |