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A matrix library for JavaScript with ability to calculate determinants, inverse, RREF and perform other simple matrix operations.
This reduced row echelon form (RREF) calculator can receive matrices up to a size of 7 rows by 7 columns. It will take a user specified matrix size and inputs then output it in RREF. In mathematics, solving a matrix and transforming it into RREF is essentially solving a system of linear equations. This has many use cases in advanced mathematics across several disciplines such as finance and differential equations. This project was created using HTML, CSS, and vanilla JavaScript.
A web app which visualizes linear algebra matrix operations, ie: matrix product, determinant, inverse matrix and rref.
This project is a matrix row reduced echelon form calculator using javaFx, it can calculate RREF of any n x n matrix and display its rank and nullity and if optionally the steps of the calculation process
Assignment done as a part of MTH101 course to find the parametric solution of an augmented matrix by converting it into its unique rref form.
Library with matrix object and functions for manipulating matrices
This code solves the homogenous system Ax = 0 and write the general solution in parametric vector form