Basic Information
General Introduction to Algorithms, Convergence, Rate of Convergence. Univariate Minimization# Interpolation Methods, Methods Without Derivatives. Multivariate Minimization# Classical Methods, Conjugate Directions, Quasi-newton. Constrained Minimization# Reduced Gradient, Method Based On Augmented Lagrangians. Introduction to Large Scale Problems. Optimization of Networks, Elements of Combinatorial Optimization.