Solving Unconstrained Optimization Problems Using MATLAB

This guide covers MATLAB implementations for unconstrained optimization methods including Steepest Descent, Newton's Method, Conjugate Gradient, Variable Metric Methods (DFP and BFGS), and Nonlinear Least Squares. For constrained optimization, it explores Exterior Penalty Function and Generalized Multiplier Methods. The documentation includes detailed algorithm explanations, MATLAB code examples, and practical problem analysis with optimization techniques.

Several Algorithms in Optimization Theory

Key optimization algorithms including Conjugate Gradient Method, Preconditioned Conjugate Gradient Method, Direction Acceleration Method, Step Size Acceleration, and Variable Metric Method, with code implementation insights