Perturbation Theory in Mathematical Programming and Its Applications

摘要: PART I: FOUNDATIONS OF THEORY AND METHODS FINITE-DIMENSIONAL OPTIMIZATION: Basic Concepts, Problems and Fields of Applications Perturbation Theory Smooth Mathematical Programming (Main Results) Examples Studies in Parametric Optimization Problems, II: BASIC PERTURBATION IN Elements Convex Nonconvex Analysis Optimality Criteria Generating III: MATHEMATICAL PROGRAMMING: General for Minimax Perturbations under Bound Constraints.