*Efficient Java Matrix Library* (EJML) is a linear algebra library for manipulating dense matrices. Its design goals are; 1) to be as computationally efficient as possible for both small and large matrices, and 2) to be accessible to both novices and experts. These goals are accomplished by dynamic...

MSA is a Python implementation of direct Matrix Stiffness Method for static structural analysis. == Presentación == ¡Bienvenido/a a la página principal de MSA! MSA es una implementación libre (GPL) del método matricial de la rigidez, con la que se pretende lograr una aplicación funcional qu...

Pumice is a sparse vector and sparse matrix library for the [http://www.lua.org Lua] programming language. Pumice can efficiently store vectors and matrices containing a large number of zero elements. While it can be used as a general purpose matrix library, emphasis is placed on being able to e...

Remember the the first Matrix movie (teh good one) where Cypher is watching the falling code and tells Neo "...all I see is blonde, brunette, red head..." That was the idea behind this project. Its a matrix screen saver with a really cool edge. (IMHO) You set a folder with your pictures (anima...

!SmallMatrix is a C++ Library for Linear Algebra that provides very fast classes for vector and matrix (generic, square and symmetric) in low dimensional context. As dynamic memory allocation is really slow for small dimensional vector or matrix, generic Matrix/Vector libraries are not recommande...

*MTJ* is designed to be used as a library for developing numerical applications, both for small and large scale computations. The library is based on [http://www.netlib.org/blas BLAS] and [http://www.netlib.org/lapack LAPACK] for its dense and structured sparse computations, and on the [http://www.n...

pairwise distance matrix grouping/clustering optimal order using minimum entropy approach

All my projects from the matrix dot net course.

A distributed matrix engine

Java Matrix Benchmark (JMB) is a tool for evaluating different Java matrix libraries for speed and stability. JMB rigorously tests performance across a wide range of matrix sizes and matrix operations. Unintentional biases from the JavaVM's runtime optimizations are mitigated, dynamically adjusts ...