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Algebraic calculation system implemented purely in C#.

http://symbolicalgebra.codeplex.com/Tags | algebra symbolic-algebra symbolic-calculation |

Implementation | |

License | LGPL |

Platform | Windows |

java symbolic computing library and math editor, with : polynomial system solving, vectors amp; matrices, factorization, derivatives, integrals (rational functions), boolean algebra, simplification, MathML output, java code generation, geometric algebra

YACAS is an easy to use, general purpose computer algebra system. It uses its own programming language designed for symbolic as well as arbitrary-precision numerical computations. The system comes with a library of scripts and extensive documentation.

Maxima is a fairly complete computer algebra system written in Common Lisp with an emphasis on symbolic computation. It is based on DOE-MACSYMA and licensed under the GPL. Its abilities include symbolic integration, 3D plotting, and an ODE solver.

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

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Symja is a pure Java library for symbolic mathematics. It was forked from the MathEclipse project. Its features include arbitrary precision integers, rationals and complex numbers, polynomials, differentiation, pattern matching and linear algebra.

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ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures. ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK AP

Group Explorer is mathematical visualization software for the abstract algebra classroom. Users can explore dozens of finite groups (and morphisms among them) visually and interactively.

LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices.

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