Gauss-Jacques Method

Version 1.0.4 (14.1 KB) by D. Cantón
Calculate of modular inverse matrices using Gauss-Jacques algorithm sized n x n for applications in numerical analysis.
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Updated 4 Jun 2019
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Gauss-Jacques algorithm gets the modular inverse of a matrix. This algorithm does not use neither determinants nor the adjoint matrix and is very useful for matrices of any size.

Example:

n = 10; % size of the matrix
K = randi(100,n,n); % generate a randon matrix with size 'n'
m = 89; % the module must be a prime number
[InvMod, I] = gauss_jacques(K, m);

References:

https://www.uaq.mx/investigacion/revista_ciencia@uaq/ArchivosPDF/v11-n1/art14_numerada-VF.pdf
https://savannah.gnu.org/patch/?9691
https://www.npmjs.com/package/gauss-jacques

Cite As

D. Cantón (2024). Gauss-Jacques Method (https://github.com/dCantonE/gauss-jacques), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
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Version Published Release Notes
1.0.4

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.