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Lapack ⭐ 1,336

LAPACK development repository

开源Go语言数值算法库(An open numerical library purely based on Go programming language)

Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics

Numerical Methods Fortran ⭐ 54

Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran

Conjugategradients ⭐ 33

Implementation of ConjugateGradients method using C and Nvidia CUDA

JS ND-Arrays inspired by NumPy.

Modern Fortran sparse linear systems solver

Projects ⭐ 20

Various Small Projects on Various Subjects

Fortran Lapack ⭐ 17

Modularized Fortran LAPACK implementation

Code For Numerical Analysis Executed In Fortran And Matlab ⭐ 13

This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB

Numerical Methods (NM) for BE Electrical II Year / II Part, Email: [email protected]

Symbolic Equation Solver ⭐ 8

A genetic programming application to solve linear and quadratic equations symboliclly

Fast routines for solving large systems of linear equations in R. Makes Eigen Cholesky-, LU-, QR-, and iterative (Conjugate Gradient, BiCGSTAB) solvers for both dense and sparse problems available.

Mathclasses ⭐ 5

Set of simple mathematical classes in C# (Vectors, Matrixes, Polynoms, Systems of linear equations, Integrals methods, Complex numbers, Rational numbers, Graphs, Methods for solving differential equations) + some features such as memoize (function values memorising)

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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