Recent advances in optimization
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This book explores a range of advanced topics in optimization and mathematical programming. It covers equilibrium programming problems, focusing on prox-regularization and prox-methods, as well as conically equivalent pairs of convex sets. The text delves into global minimax approaches for discrete problems and gradient methods for equilibrium. It discusses the best approximation of set-valued functions and introduces a new decomposition method in nonconvex programming using a separable augmented Lagrangian. Additionally, it examines suboptimal solutions for control problems in distributed parameter systems and polynomial affine-scaling algorithms for linear complementary problems. The multi-step proximal method for variational inequalities with monotone operators is also presented. The book investigates fixed point selection in iteration methods and analyzes the differential properties of approximate optimal solutions in parametric semi-infinite programming. It offers a global optimization approach for efficient set optimization and combines auxiliary problem principles with approximation methods. Other topics include stable methods for ill-posed variational inequalities in mechanics, variational methods in image restoration, and a special class of mathematical programs with equilibrium constraints. The reconstruction problem for nondifferentiable functions and nonsmooth continuation for generalized equations are also discuss

