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.