Search Results for "matrix algebra"

REDUCE is an interactive system for general algebraic computations of interest to mathematicians, scientists and engineers. It can be used interactively for simple calculations but also provides a flexible and expressive user programming language. The development of the REDUCE computer algebra system was started in the 1960s by Anthony C. Hearn. Since then, many scientists from all over the world have contributed to its development. REDUCE has a long and distinguished place in the history...

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html...

JLinAlg is an open source and easy to use Java library for linear algebra. It can do calculations without rounding errors. Features include: basic matrix operations, algorithms for solving Linear Equation Systems, inverting matrices, computing the determinant and the eigenvalues of a matrix.

GLSLmath provides C++ math operations as defined by GLSL. For example, it provides methods to easily setup viewing transformations and perspective projections. GLSLmath has been inspired by the glm and slmath libraries, which aim to mimic GLSL, but in contrast to those GLSLmath does not focus on a complete conforming implementation of GLSL. It rather aims to provide a convenient single header file that implements the most commonly used subset of GLSL so that it is easy to use for rapid...

A fast and versatile compiler-based library for sparse linear and tensor algebra. TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and tensor...

A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.

oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain.

TMV is a comprehensive linear algebra library which uses operator overloading, views & delayed evaluation to simplify matrix and vector expressions in C++. It is well documented and can optionally call optimized BLAS/LAPACK for faster execution times

The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number...

ViennaCLBench provides a graphical user interface for collecting benchmark data for common OpenCL-accelerated linear algebra operations as implemented in the linear algebra library ViennaCL.

Header defined, generic C++ Vector and Matrix classes for engineering, scientific, or mathematical needs. A more intuitive, lightweight substitute for the larger linear algebra libraries available.

BLAS (Basic Linear Algebra Subprograms) is used to perform operations such as vector and matrix multiplication. LAPACK is buit using BLAS. This project is a beginning of BLAS functions and procedures for OpenCL language on GPU.

The Life Cycle Assessment Spreadsheet allows you to calculate carbon footprints and other environmental impacts for given product systems. Use requires basic skills in LCA and matrix algebra, but rewards effort with professional analytical tools.

Just want vector and matrix algebra and not the entire numerical algorithm kitchen sink? Don't care about FORTRAN? This may be for you. This package is a small, well-tested C++ library that provides basic addition, multiplication, and inversion.

JLAL is a linear algebra package for java, providing an easy to use object-oriented API. The library supports arithmetic operations, inversion, various matrix decompositions, solution of linear equations, and more.

Slate++ is a vector/matrix package for C++. Based on templates, Slate++ facilitates basic linear algebra (+, -, *, /, inverse, determinant, ...) on many data types (int, float, double, complex...). Simple to use and thoroughly documented.

Mathniac is a computer algebra system and a small, portable C++ library with symbolic math capabilities. Features: - Symbolic math with multivariable functions and expresions. - Symbolic derivation. - Matrix algebra, etc...