Explore MATLAB source code curated for "高斯消去法" with clean implementations, documentation, and examples.
These four implementations solve linear equation systems using Gaussian elimination, column pivoting elimination, complete pivoting elimination methods, and Gauss-Jordan elimination for matrix inversion. The programs are developed in MATLAB language and thoroughly tested under MATLAB 6.5 environment.
Implementation and comparison of various numerical methods including Gaussian Elimination, LU Decomposition, Jacobi Iteration, Gauss-Seidel Iteration, and SOR Iteration for solving linear systems Ax=b
This repository contains several self-developed MATLAB programs for numerical computations, implementing Lagrange Polynomial Interpolation, Gaussian Elimination for solving linear systems, Least Squares method for curve fitting, and Composite Trapezoidal Rule for numerical integration
Computer-Aided Analysis of Power Flow in Power Systems This project requires performing power flow analysis on a 14-node power system using both MATLAB and PSASP software. Specific requirements include: 1) Implementing power flow calculation in MATLAB by programming to form the nodal admittance matrix, construct the Jacobian matrix, solve correction equations using Gaussian elimination, and creating output routines to display the nodal admittance matrix, node voltages (including phase angles and magnitudes), branch power flows (sending-end, receiving-end, and power losses). The program requires debugging, execution in MATLAB environment, and tabulation of results for comprehensive analysis.
Implementation analysis of Gaussian elimination and other numerical methods for solving linear systems Ax=b with code-related descriptions