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colormath is a simple Python module that spares the user from directly dealing with color math. Some features include: * Support for a wide range of color spaces. A good chunk of the CIE spaces, RGB, HSL/HSV, CMY/CMYK, and many more. * Conversions between the various color spaces. For example, XYZ to sRGB, Spectral to XYZ, CIE Lab to Adobe RGB. * Calculation of color difference. All CIE Delta E functions, plus CMC. * Chromatic adaptations (changing illuminants). * RGB to hex and vice-versa. * 16-bit RGB support.

This is a Qt4 version of QwtPlot3d - a feature-rich Qt/OpenGL-based C++ programming library, providing essentially a bunch of 3D-widgets.

Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy.

Although it works best with the TeX fonts installed, jsMath canfall back on a collection of image-based fonts (which can still be scaled or printed at high resolution). This is a pack of those.

The PARI system is a package which is capable of doing formal computations on recursive types at high speed. It is possible to use PARI in two different ways: 1) as a library, which can be called from any upper-level language application (for instance written in C, C++, Pascal or Fortran); 2) as a sophisticated programmable calculator, named GP, which contains most of the standard control instructions of a standard language like C. This is the alpha quality version that development is in the way. Algorithm, improvement of implementation are done. Because improvement of performance was big, ports was made as -devel in particular.

Bit::Vector is an efficient C library which allows you to handle bit vectors, sets (of integers), "big integer arithmetic" and boolean matrices, all of arbitrary sizes. The library is efficient (in terms of algorithmical complexity) and therefore fast (in terms of execution speed) for instance through the widespread use of divide-and-conquer algorithms. The package also includes an object-oriented Perl module for accessing the C library from Perl, and optionally features overloaded operators for maximum ease of use. The C library can nevertheless be used stand-alone, without Perl.

This is a small convenience module created originally as part of Module::Inspector but released separately, in the hope that people might find it useful in other contexts.

ndiff is a utility for comparing putatively similar files, ignoring small numeric differences. The utility is written by Nelson H. F. Beebe and covered by the GNU General Public License (GPL), version 2. It may be built with arbitrary precision support (more powerful) or using built-in floating point precision, see Makefile. Assessing the consistency of a numerical program run in multiple environments (operating systems, architectures, or compilers) can be a difficult task for a human, as small differences in numerical output values are expected. File differencing utilites, such as diff(1), will generally produce voluminous output, often longer than the original files. ndiff solves this problem. Taking two text files expected to be identical, or at least numerically similar, it allows to specify absolute and/or relative error tolerances for differences between numerical values in the two files, and then reports only the lines with values exceeding those tolerances. It also tells by how much they differ. A simple example: % ndiff --relative-error 1.0e-3 test019.txt.1 test019.txt.2 ### Maximum relative error in matching lines = 8.64e-51 at line 129 field 4

NZMATH is a Python based number theory oriented calculation system. The centre of development in origin is Tokyo Metropolitan University. It is freely available and distributed under the BSD license.

This is a Ruby library for mathematical (algebraic) computations. Our purpose is to express mathematical objects naturally in Ruby. Though it does not operate fast, we can see the algorithm of the mathematical processing not in a black box but in scripts. Things Ruby/Algebra offers include the following: - One-variate polynomial o Fundamental operations (addition, multiplication, quotient/remainder, ...) o Factorization - Multi-variate polynomial o Fundamental operations (addition, multiplication, ...) o Creating Groebner-basis, quotient/remainder by Groebner-basis. - Algebraic systems o Creating quotient fields o Creating residue class fields o Operating matrices