There are 0 repository under matrix-inversion topic.
A simple C++ complex & real matrix library, with matrix inversion, left division and determinant calculation
MAL111 - Mathematics Laboratory MATLAB Codes. Bisection Method, Fixed Point Method, Gauss Elimination, Gauss Jordan, Matrix Inversion, Lagrange Interpolation, Newton-Raphson, Regula-Falsi, Row Reduced Echelon Form, Simpson's Integration, Trapezoidal Method.
Compute the inverse of a matrix using the Gauss-Jordan method.
A tool to make it easy to find the inverse of a matrix :bar_chart:
Fast matrix inversion in the context of PolSAR image processing and classification in C++ using OpenMP
Implementation of different regression algorithms in Java.
Fondements de l’Algorithmique Algébrique. Implémentation de différent algorithme appliqué à des matrices à coefficients dans Z/nZ.
Contents for my Masters thesis "Optimized Block-Level Matrix Inversion Kernels for Small, Batched Matrices on GPUs"
Verilog code for inversion of a matrix
Cholesky Decomposition and Matrix Inversion
Benchmarking several methods for computing the inverse of a matrix, including the Eigen library implementation.
Implementation of the Gauss-Jordan method for inverting matrices.
Python realisation of some matrix operations including LU-decomposition and determinant finding.
Parallel Matrix-Multiplication, Gauss-Elimination, Matrix Inversion using pthreads and openMP
12th Grade Math project to develop own method to efficiently find a matrix inverse (incl. full Java code)
One-liner array expression to determine the cross-product of two 3-dimensional vectors. Fast computation of inverse of 3x3 matrix using this expression.
Coursera - Activities from R Programming Course by Johns Hopkins University
A suite of general Python scripts.
Computer Science and related topics are the main focus of this repository. Mainly, Python language is used here.
A set of CUDA programs that invert matrices
Implementation of selected matrix algorithms i.e. Strassen, Binet, block matrix inversion and block LU factorization with recursive approach.
MPI C++ program to find inverse matrix using Gaussian method
Proyecto 14 - Programación 2
Benchmarking three different methods for computing the inverse of a matrix.
Computing the inverse of a matrix using cofactor expansion.
Provides multivariate normal distribution sampling and matrix inversion for Jetbrain's new NDArray library Multik, by bodging it with some classes (including tests) from Apache Commons Maths 3 & 4, translated into Kotlin and made JVM independent for a Kotlin Multi-Platform project.
OpenMP implementation of some algorithms for optimized matrix multiplication and inversion.
NUMERICAL METHODS FOR SCIENTIST AND ENGINEERS With Pseudocodes