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.
Autonomous Agent LU Factorization with Partial Pivoting (LUP) Matrix Inversion & Linear Solver
Autonomous Agent LU Factorization with Partial Pivoting (LUP) Matrix Inversion & Linear Solver
Implementation of several numerical algorithms
Solves the linear system Ax=b for x using Gaussian elimination with partial pivoting.
Numerical methods for solving a linear system
This repository contains a series of mini-projects focused on fundamental numerical methods implemented in MATLAB. These projects cover key areas in numerical linear algebra and root-finding techniques, each designed to provide practical insights into mathematical theories and their computational applications.
High Performance Computing for Sparse LU Factorization
asymmetric linear system solver by using LU decomposition+ partial pivoting.
direct and iterative gauss methods algorithms still in terminal
gaussian elimination with scaled partial pivoting
Gaussian elimination with partial pivoting, implemented from scratch without np.linalg.solve, and benchmarked honestly against LAPACK. 10 tests.
A robust, terminal-based tool for solving systems of linear equations (N * N). This project implements Gaussian Elimination with Partial Pivoting, allowing it to handle unique solutions, inconsistent systems (no solution), and dependent systems (infinite solutions) with high numerical stability.
To associate your repository with the partial-pivoting topic, visit your repo's landing page and select "manage topics."