1. The Optimization Problem. p. 1 -- 2. Basic Principles. p. 27 -- 3. General Properties of Algorithms. p. 65 -- 4. One-Dimensional Optimization. p. 81 -- 5. Basic Multidimensional Gradient Methods. p. 119 -- 6. Conjugate-Direction Methods. p. 145 -- 7. Quasi-Newton Methods. p. 175 -- 8. Minimax Methods. p. 203 -- 9. Applications of Unconstrained Optimization. p. 231 -- 10. Fundamentals of Constrained Optimization. p. 265 -- 11. Linear Programming Part I: The Simplex Method. p. 321 -- 12. Linear Programming Part II: Interior-Point Methods. p. 373 -- 13. Quadratic and Convex Programming. p. 407 -- 14. Semidefinite and Second-Order Cone Programming. p. 449 -- 15. General Nonlinear Optimization Problems. p. 501 -- 16. Applications of Constrained Optimization. p. 533 Incluye: referencias bibliográficas.-- Corresponde al suministro no. 33700
