MAL114 - Linear Algebra MATLAB Codes: QR decomposition and eigenvalues, Gauss-Jacobi, Gauss-Jordan, Gauss-Seidel, Graham-Schmidt, Jacobi Eigenvalues, Projection, Successive over Relaxation, System of Equations.
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Updated
Dec 30, 2016 - MATLAB
MAL114 - Linear Algebra MATLAB Codes: QR decomposition and eigenvalues, Gauss-Jacobi, Gauss-Jordan, Gauss-Seidel, Graham-Schmidt, Jacobi Eigenvalues, Projection, Successive over Relaxation, System of Equations.
Parallelization of QR decomposition with Householder transformation
Sparse-matrix implementation on linear algebra and matrix operations
Sparse Matrix and Linear Algebra in Javascript
Python wrapper for the sparse QR decomposition in SuiteSparseQR.
Implementation of different regression algorithms in Java.
Linear Least Squares Regression with Eigen Dense Solver using QR decomposition and LU decomposition.
matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas
Repository for machine learning problems implemented in python
Python functions for numerical analysis: numerical schemes for ODEs, linear algebra, linear/non-linear/iterative solvers, interpolation, and regression analysis.
Contains all experiments with different types of matrices and operations.
2018 Spring Course, Computer Vision and Pattern Recognition, in XJTU
This repository contains different implementations for parallel QR Decomposition
Rank-1 updates by Givens' rotations to solve linear systems which are column-subsampled (selection of dimensions) at each iteration
A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
Implementation of the preconditioned Kaczmarz method https://arxiv.org/abs/1903.01806
EMV Compliant QR Library in .NET Standard
Matrix Decompostion Techniques - SVD and QR Decomposition
Fast singular value decomposition, diagonalization, QR decomposition of 3x3 matrices.
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