Economic Dispatch with MATLAB Implementation
MATLAB M-file implementation for solving economic dispatch problems with optimization algorithms
Explore MATLAB source code curated for "m文件" with clean implementations, documentation, and examples.
MATLAB M-file implementation for solving economic dispatch problems with optimization algorithms
MATLAB lacks a built-in Hermite interpolation function, requiring creation of an M-file. The implementation takes node data arrays x0 (x-coordinates), y0 (function values), and y1 (derivative values) for n nodes, plus m interpolation points in array x, and outputs interpolated values in array y. Key considerations include MATLAB's 1-based indexing and the hermite.m file structure.
MATLAB Implementation of x-y Graphical Method for Determining Theoretical Stages in Binary Distillation Columns - This is an m-file requiring MATLAB environment for execution
A comprehensive MATLAB program for sliding mode control featuring both M-file implementation and SIMULINK simulation, with modules constructed using S-functions for robust system control
LMS Toolbox featuring multiple MATLAB m-files for implementing and analyzing LMS (Least Mean Squares) and RLS (Recursive Least Squares) adaptive filtering algorithms with comprehensive documentation and examples.
Comprehensive examples of random number generation in MATLAB M-files, covering various probability distributions and parameter configurations with practical code demonstrations.
Detailed MATLAB m-file routines for solving various types of partial differential equations, featuring implementation examples with PDE Toolbox functions, finite difference methods, and spectral decomposition algorithms
This resource provides MATLAB source code (.m files) and required image files for program execution, covering various computational algorithms and practical implementations.
M-file containing MATLAB programs for Conjugate Gradient Method and Newton's Method with algorithm descriptions