Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.
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Updated
Aug 8, 2022 - C++
Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
Compute the inverse of a matrix using the Gauss-Jordan method.
Implementation of the Gauss-Jordan method for inverting matrices.
Benchmarking several methods for computing the inverse of a matrix, including the Eigen library implementation.
C++ program to solve linear equations using Gaussian eliminations method
Matrix class + Gaussian Elimination, Jacobi Eigenvalue Algorithm, Linear Regression
This repository contains the projects for the "Numerical Methods for Electrical Engineers" course. The projects are implemented in C++ and cover key numerical methods like Gaussian elimination, power iteration algorithm, and secant and bisection methods.
A header-only template library with implementation of Linear Algebra tools and methods for C++
Desktop app. Evaluates system of equations. Six different methods. Three Direct methods: Gaussian Elimination, Gauss Jordan, LU Decomposition. Three iterative methods: Jacobi, Gauss Seidal, Successive Over Relaxation (SOR).
Gaussian Implementation using pipelined and non-pipelined approach using shared memory (Pthreads) and message passing (MPI) programming models
MPI C++ program to find inverse matrix using Gaussian method
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