Optimization Computation: Newton's Method + Conjugate Gradient Method Implementation
MATLAB program implementation combining Newton's Method and Conjugate Gradient for optimization problems
MATLAB Optimization Computing: 20 Practical Examples with Algorithms and Code Implementation
This collection includes 20 MATLAB .m files implementing various optimization algorithms, featuring Quadratic Interpolation, Golden Section Search, Penalty Function Method, Genetic Algorithm, Lagrange Multiplier Method, and other key techniques with detailed code explanations and implementation approaches.
MATLAB Optimization Computing
Sample problems and program solutions for MATLAB optimization calculations, featuring practical implementations of various optimization algorithms