Compute the inverse of a matrix using the Gauss-Jordan method.
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Updated
Jul 1, 2024 - C++
Compute the inverse of a matrix using the Gauss-Jordan method.
Simulation of the n-component twin-bulb diffusion experiment using the finite volume method.
This repository contains several low-level optimizations of the Gaussian Elimination algorithm. Made as a part of Code Optimizations on Different Architectures course at the AGH University of Science and Technology.
This respository contains projects made for the Matrix Calculus and Multivatiate Statistics course at the AGH UST in 2024 by 2 students (one team).
nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern.
Selected numerical methods implemented
Library for matrix calculations for C++
Fortran 77/90/95 programs that deal with Physical Chemistry problems
Numerical Methods using Octave. Solving Linear equations, Systems of linear equations, etc.
Repository for Numerical Analysis course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
Implementations of some algorithms from "Numerical Programming" course at TUM
GaussMaxHS, a CNF+XOR MaxSAT solver
C++ program implementing numerical methods to solve optimization problem
Numerical methods to solve an equation, fit a curve, find integral, and more.
This repository contains code for performing Gaussian elimination using two types of algorithms. For more details see README.md
Algebra Linear System Solver Task, Second Year 1st Semester - UNI211T.
Computing hydrodynamic interaction forces and torques between two spheres moving inside a viscous flow
Kode ini merupakan Metode untuk Menyelesaikan Sistem Persamaan Linear menggunakan Metode Eliminasi Gauss dan Eliminasi Gauss-Jordan
Delve into the world of 'Numerical Analysis for Engineers' through this comprehensive course repository. Explore algorithms, simulations, and computations for engineering challenges. Dive into projects, codes, and practical applications to enhance problem-solving skills and numerical accuracy.
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