Implementations of matrix operations and algorithms based on the text Fundamentals of Matrix Computations by David S. Watkins and Elementary Linear Algebra by Ron Larson.
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Updated
May 8, 2023
Implementations of matrix operations and algorithms based on the text Fundamentals of Matrix Computations by David S. Watkins and Elementary Linear Algebra by Ron Larson.
Assignment for UE18MA251, Linear Algebra
Calculates the dimensions of the Four Fundamental Spaces of a given mxn matrix.
Contains an implementation of lazily represented matrix structures that allow for the application of the Woodbury Identity.
This repository contains a few Linear Algebra applications (and and especially a block-based LU factorization) implemented in Legion
A simple linear algebra library for D
Step-by-step Showcase of Matrix Row Reduction to Reduced Row Echelon Forms... and more!
This repo is created with an aim to simplify the mathematics under the hood of Linear Algebra
This is a Basis of ML Foundation from the perspective of linear algebra ,Data Analysis with Python,Basis of Machine learning,Neural Network...
A program that calculates the determinant of a matrix. The program should be able to handle 2x2, 3x3, and 4x4 dimensions.
matrixplusplus is a matrix library written in C++
Linear Algebra course project on Homogenous coordinates and their Applications
LazyInverses provides a lazy wrapper for a matrix inverse, akin to Adjoint in Julia Base. See the README for example use cases.
Learning With Errors Post Quantum Cryptography.
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