High-performance object-based library for DLA computations
-
Updated
Feb 28, 2024 - Fortran
High-performance object-based library for DLA computations
Structured Matrix Package (LBNL)
Julia code for the book Numerical Linear Algebra
Numerical computation in native Haskell
Análisis numérico y cómputo científico
Small C++17 library for vector and matrix computations
Safe and fast mathematical operations with static arrays in the Rust programming language
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
JS ND-Arrays inspired by NumPy.
Column and row updates to "Q-less" QR decomposition, including stable least-squares solves
Matrices with interval coefficients in Julia
This repository contains the implementations of the MUSIC and ESPRIT algorithms, which can be used for super-resolution spectral analysis.
Code Repository for Matrix Computations(4th Edition) by G.H. Golub and C.F. Van Loan
The functions provided in this C++ source files are used to save and load Eigen C++ matrices/arrays to and from CSV values.
A library for basic matrix computation and analysis
Large Linear Algebra (Godot - GDExtension)
Numerical experiments on Jacobi SVD algorithm
It includes the basic and advance numpy array manipulations. The topics like indexing, slicing, fast element array-wise functions, mathematical and statistical methods, filing, linear algebra functions, pseudo-random numbers, reshaping, splitting, concatenating,tiles, repeating, where( ) function & numpy advanced array manipulation are implemented.
A class research project on independent component analysis (ICA) and FastICA for Matrix Analysis for Signal Processing and Machine Learning (ECE 599) course at Oregon State University.
Add a description, image, and links to the matrix-computations topic page so that developers can more easily learn about it.
To associate your repository with the matrix-computations topic, visit your repo's landing page and select "manage topics."