Rust numeric library with R, MATLAB & Python syntax

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

A software to write an optimized code that calculates inverse and determinant of N by N matrix.

Safe and fast mathematical operations with static arrays in the Rust programming language

Fit polynomial curves to given points using least squares regression

An introduction to determinants

Notes on determinants and other concrete algebra (PRIMES 2015 reading project: problems and solutions)

Simple C++ library for dealing with matrices.

This project implements a new algorithm for complex matrix processing required by Polarimetric Synthetic Aperture Radar (PolSAR) using C/C++ and Open Computing Language (OpenCL)

A small javascript linear algebra library

Algorithm to calculate the determinant or the echelon form of a matrix with integer entries using only integer arithmetic; any divisions that are performed are guaranteed to be exact (there is no remainder). The method can also be used to compute the determinant of matrices with (approximated) real entries, avoiding the introduction any round-of…

C++ CUDA-compatible template class that provides an interface for generic purpose matrix related algorithms and computations. Includes Matlab-like functions. This is mainly an example of how to use CUDA code with C++. Don't expect such high performance.

A matrix library for JavaScript with ability to calculate determinants, inverse, RREF and perform other simple matrix operations.

This project is created for learning the real world application of linear algebra which contains some core concepts like determinants, matrix, eigen-value, eigen-vector, etc to create a real-world application like steganography, grafh-theory, analysis of spread of disease, image processing, cryptography etc. This can have small bugs like excepti…

Matrix operations made intuitive and easy with simple manipulation code in python

A professional, comprehensive and high-performance library for you to manipulate matrices.

Sample codes for parallel programming using OpenMP on CPU and CUDA on GPU

A Templated C++ matrix library