Nonlinear Optimization Design Methodologies

MATLAB implementations of contemporary nonlinear programming algorithms including SQP (Sequential Quadratic Programming) with active-set strategy, Augmented Lagrangian method for constraint handling, Quadratic Programming solvers, Nonlinear Least Squares using Gauss-Newton iterations, Conjugate Gradient methods for large-scale problems, Quasi-Newton techniques (BFGS/DFP), Line Search implementations with Wolfe conditions, Trust Region methods with dogleg steps, Steepest Descent with adaptive step sizes, and Newton's method with Hessian modifications.