Nonsmooth Optimization and Related Topics

Table of Contents

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   Book Overview
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   Chapter 1 Scalar and Vector Generalized Convexity
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   Chapter 2 Compactness and Boundedness for a Class of Concave-Convex Functions
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   Chapter 3 Applications of Proximal Subgradients
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   Chapter 4 New Functionals in Calculus of Variations
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   Chapter 5 Quasi-Variational Inequalities and Applications to Equilibrium Problems with Elastic Demand
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   Chapter 6 Smoothness of Nonsmooth Functions
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   Chapter 7 Exact Penalty Functions for Nondifferentiable Programming Problems
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   Chapter 8 Fuzzy Γ-Operators and Convolutive Approximations
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    Chapter 9 On Cone Approximations and Generalized Directional Derivatives
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    Chapter 10 Some Techniques for Finding the Search Direction in Nonsmooth Minimization Problems
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    Chapter 11 Directional Derivative for the Value Function in Mathematical Programming
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    Chapter 12 Necessary Optimality Conditions via Image Problem
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    Chapter 13 From Convex Optimization to Nonconvex Optimization. Necessary and Sufficient Conditions for Global Optimality
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    Chapter 14 Nonconvex Subdifferentials
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    Chapter 15 Perturbed Differential Inclusion Problems
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    Chapter 16 Subdifferential Analysis and Plates Subjected to Unilateral Constraints
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    Chapter 17 Optimization Problems for Aircraft Flight in a Windshear
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    Chapter 18 Constrained Well-Posed Two-Level Optimization Problems
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    Chapter 19 A Compactness Theorem for Curves of Maximal Slope for a Class of Nonsmooth and Nonconvex Functions
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    Chapter 20 Basics of Minimax Algorithms
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    Chapter 21 Implicit Function Theorems for Multi-Valued Mappings
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    Chapter 22 Perturbation of Generalized Kuhn-Tucker Points in Finite-Dimensional Optimization
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    Chapter 23 Nonsmooth Optimization and Dual Bounds
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    Chapter 24 A Unified Treatment of Some Nonstandard Problems in Dynamics Optimization
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    Chapter 25 Local and Global Directional Controllability: Sufficient Conditions and Examples
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    Chapter 26 Stability for a Class of Nonlinear Optimization Problems and Applications
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    Chapter 27 The BT-Algorithm for Minimizing a Nonsmooth Functional Subject to Linear Constraints