Explore MATLAB source code curated for "极小值" with clean implementations, documentation, and examples.
Implementation of the Fletcher-Reeves (FR) conjugate gradient algorithm for minimizing a target function y with variable x, starting from initial search point x0. Returns fm as the minimum function value and xm as the corresponding minimizing point. The algorithm utilizes gradient information and iterative direction updates for efficient convergence.
The golden section search method provides an efficient MATLAB implementation for finding the minimum value of unimodal functions through iterative interval reduction
An example demonstrating function minimization through genetic algorithm implementation, including selection, crossover, and mutation operations
MATLAB code implementation for finding minimum values of functions with optimization techniques
Implementation of the Success-Failure Method for Finding Function Minimum Values with Code-Oriented Explanation