Explore MATLAB source code curated for "收敛" with clean implementations, documentation, and examples.
A test program implementing the primal-dual interior point method for solving nonlinear optimization problems, featuring accurate and rapid convergence to optimal solutions with robust algorithm implementation.
DRAM Algorithm is an enhanced Markov Chain Monte Carlo (MCMC) sampling method that builds upon classical MCMC approaches by incorporating improved strategies to achieve faster and more stable convergence. This algorithm implements multidimensional joint variable updates and block sampling techniques to optimize computational efficiency while maintaining sampling accuracy through adaptive candidate distribution mechanisms.
A practical implementation combining Simulated Annealing with Particle Swarm Optimization algorithms, featuring fast convergence and robust performance
This improved algorithm effectively resolves convergence issues and achieves exceptional clustering performance (as demonstrated in the attached result images). The enhanced ant colony algorithm builds upon genetic algorithm foundations by incorporating mutation factors that accelerate convergence through strategic solution space exploration.
The Fuzzy C-Means (FCM) algorithm often converges to local minima. To overcome this limitation, we integrate genetic algorithm optimization with FCM clustering. The genetic algorithm determines optimal initial cluster centers through iterative evolution operations, after which standard FCM clustering produces improved classification results with enhanced stability and accuracy.
This program simulates the weight convergence of two fixed-step algorithms and one variable-step least mean square error (LMS) algorithm. The simulation results demonstrate that the variable-step algorithm achieves superior performance, with implementation details highlighting step-size adaptation mechanisms.
Enhanced Artificial Bee Colony Algorithm Source Code Featuring Improved Convergence Performance Compared to Standard Implementations