October 2006 - Boost-announce - lists.preview.boost.org

[review-results] pimpl_ptr
by Rene Rivera 07 Oct '06

07 Oct '06

Unfortunately I must say that the pimpl_ptr library will not be part of Boost at this time. The results where decidedly against the library in the proposed form. A few points about the library where clear: * Many want to see a pimpl_ptr in Boost. * The proposed design was considered to not do enough towards addressing the handle-body idiom within C++. * Some of the ideas, the policies, where both liked and disliked. Which raised the specter of the lack of a policy pointer. Hopefully we will see this idiom addressed in some near future. Last, I must apologize for the late results. But I must thank Ronald for the gentle prodding :-) -- -- Grafik - Don't Assume Anything -- Redshift Software, Inc. - http://redshift-software.com -- rrivera/acm.org - grafik/redshift-software.com -- 102708583/icq - grafikrobot/aim - grafikrobot/yahoo

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Statistical Distributions / Mathematical Special Functions: revised URL's
by John Maddock 06 Oct '06

06 Oct '06

Since some people have had problems accessing the previous URL's given, the library is now available from the following locations: www.johnmaddock.co.uk/toolkit Or http://freespace.virgin.net/boost.regex/toolkit/index.html Or Go to the Boost Vault at http://boost-consulting.com/vault and cd into the "Math - Numerics" directory. Note that the code and documentation are separate downloads. In addition there is the subset of Boost-1.34 used by the lib here: http://freespace.virgin.net/boost.regex/toolkit/miniboost.zip Please note that the lib will not build with Boost-1.33.1 since it uses some parts of Boost.TR1. And finally... Bleeding edge cvs access is available via the Boost-Sandbox: http://sourceforge.net/projects/boost-sandbox/ Once you have checked out the sandbox you will need to do a: cvs update -r math_toolkit at which point everything should disappear except the current math-toolkit code. Regards, John Maddock.

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[boost] Review of Generic Image Library (GIL) begins today, Oct5, 2006
by Tom Brinkman 05 Oct '06

05 Oct '06

The review of Generic Image Library (GIL) begins today, October 5, 2006, and continues through October 15, 2006. Please download the library at: http://opensource.adobe.com/gil. Minor change are being made regularly (daily), so check the site often for updates. I highly recommend viewing the 55 minute Breeze presentation describing the library at: http://opensource.adobe.com/gil/presentation/index.htm A tutorial is available at: http://opensource.adobe.com/gil/gil_tutorial.pdf A design guide is availage at: http://opensource.adobe.com/gil/gil_design_guide.pdf Description: The Generic Image Library (GIL) is a C++ library that abstracts the image representation from operations on images. It allows for writing the image processing algorithm once and having it work for images in any color space, channel depth and pixel organization, or even synthetic images, without compromising the performance. GIL has an extension mechanism that allows for adding extra functionality. Two extensions are currently provided – one for image I/O and one for handling images whose properties are specified at run-time. Review questions: Please always explicitly state in your review, whether you think the library should be accepted into Boost. You might want to comment on the following questions: - What is your evaluation of the design? - What is your evaluation of the implementation? - What is your evaluation of the documentation? - What is your evaluation of the potential usefulness of the library? - Did you try to use the library? With what compiler? Did you have any problems? - How much effort did you put into your evaluation? A glance? A quick reading? In-depth study? - Are you knowledgeable about the problem domain? Tom Brinkman _______________________________________________ Unsubscribe & other changes: http://lists.boost.org/mailman/ listinfo.cgi/boost

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Ann: Statistical distributions / Mathematical Special Functions
by John Maddock 04 Oct '06

04 Oct '06

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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