A Collection some matrix manipulation algorithms
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Updated
Nov 18, 2016 - C
A Collection some matrix manipulation algorithms
The Conjugate Gradient (CG) method is an efficient iterative algorithm for solving large, sparse systems of linear equations where the matrix is symmetric and positive-definite. It finds the minimum of a quadratic function by generating conjugate search directions, ensuring convergence in at most steps for an matrix.Solver
This repo was created with the aim of compiling all the CSCI 5451 - Spring 2018 coursework. Further, implementations outside of coursework, of both the serial and their parallel counterparts are going to be included in this repo.
矩阵算法学习笔记 , study notes of Matrix Algorithm with python script
Matrix Algorithms implementations with time and memory usage tests. AGH 2021/22
Java library to be used on Android, simply applies precomputed matrices etc.
A Python implementation of the PageRank algorithm that simulates search engine ranking using graph theory, matrices, and iterative linear algebra techniques.
Interactive collection of matrix-based algorithms implemented in Java, covering matrix operations, academic and business data analysis, numerical patterns, and magic squares
High-Performance Benchmarking Suite for Matrix Algorithms | Bachelor Thesis Project | Python, NumPy, Performance Engineering
A C program that generates a random NxN matrix with unique integers and identifies 'Lucky Numbers' (Saddle Points), defined as the minimum element in its row and maximum in its column.
Lightweight Tic-Tac-Toe engine built with Vanilla JS. Features O(1) win-state validation using matrix patterns.
This repository contains matrix algorithm assignments completed as part of the AGH University of Krakow course in the 2025/2026 academic year.
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