000			07869cam a2200361 i 4500
001			18102693
003			CUTN
005			20231011102457.0
008			140404t20142014flua b 001 0 eng
010			_a 2014013180
020			_a9781482222074 (hardcover : acidfree paper)
020			_a1482222078 (hardcover : acidfree paper)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA427 _b.A46 2014
082	0	0	_a514.74 _223 _bAL-M
245	0	0	_aFixed point theory, variational analysis, and optimization / _cedited by Saleh A. R. Al-Mezel, Falleh R. M. Al-Solamy, Qamrul H. Ansari.
260			_aFL : _bCRC Press, _cc2014.
300			_axx, 347 pages : _billustrations; _c25 cm
500			_a"A Chapman & Hall Book."
504			_aIncludes bibliographical references (pages 334-341) and index.
505			_aPreface List of Figures List of Tables Contributors I. Fixed Point Theory Common Fixed Points in Convex Metric Spaces Abdul Rahim Khan and Hafiz Fukhar-ud-din Introduction Preliminaries Ishikawa Iterative Scheme Multistep Iterative Scheme One-Step Implicit Iterative Scheme Bibliography Fixed Points of Nonlinear Semigroups in Modular Function Spaces B. A. Bin Dehaish and M. A. Khamsi Introduction Basic Definitions and Properties Some Geometric Properties of Modular Function Spaces Some Fixed-Point Theorems in Modular Spaces Semigroups in Modular Function Spaces Fixed Points of Semigroup of Mappings Bibliography Approximation and Selection Methods for Set-Valued Maps and Fixed Point Theory Hichem Ben-El-Mechaiekh Introduction Approximative Neighborhood Retracts, Extensors, and Space Approximation Approximative Neighborhood Retracts and Extensors Contractibility and Connectedness Contractible Spaces Proximal Connectedness Convexity Structures Space Approximation The Property A(K;P) for Spaces Domination of Domain Domination, Extension, and Approximation Set-Valued Maps, Continuous Selections, and Approximations Semicontinuity Concepts USC Approachable Maps and Their Properties Conservation of Approachability Homotopy Approximation, Domination of Domain, and Approachability Examples of A−Maps Continuous Selections for LSC Maps Michael Selections A Hybrid Continuous Approximation-Selection Property More on Continuous Selections for Non-Convex Maps Non-Expansive Selections Fixed Point and Coincidence Theorems Generalizations of the Himmelberg Theorem to the Non-Convex Setting Preservation of the FPP from P to A(K;P) A Leray-Schauder Alternative for Approachable Maps Coincidence Theorems Bibliography II. Convex Analysis and Variational Analysis Convexity, Generalized Convexity, and Applications N. Hadjisavvas Introduction Preliminaries Convex Functions Quasiconvex Functions Pseudoconvex Functions On the Minima of Generalized Convex Functions Applications Sufficiency of the KKT Conditions Applications in Economics Further Reading Bibliography New Developments in Quasiconvex Optimization D. Aussel Introduction Notations The Class of Quasiconvex Functions Continuity Properties of Quasiconvex Functions Differentiability Properties of Quasiconvex Functions Associated Monotonicities Normal Operator: A Natural Tool for Quasiconvex Functions The Semistrictly Quasiconvex Case The Adjusted Sublevel Set and Adjusted Normal Operator Adjusted Normal Operator: Definitions Some Properties of the Adjusted Normal Operator Optimality Conditions for Quasiconvex Programming Stampacchia Variational Inequalities Existence Results: The Finite Dimensions Case Existence Results: The Infinite Dimensional Case Existence Result for Quasiconvex Programming Bibliography An Introduction to Variational-Like Inequalities Qamrul Hasan Ansari Introduction Formulations of Variational-Like Inequalities Variational-Like Inequalities and Optimization Problems Invexity Relations between Variational-Like Inequalities and an Optimization Problem Existence Theory Solution Methods Auxiliary Principle Method Proximal Method Appendix Bibliography III. Vector Optimization Vector Optimization: Basic Concepts and Solution Methods Dinh The Luc and Augusta Ratiu Introduction Mathematical Backgrounds Partial Orders Increasing Sequences Monotone Functions Biggest Weakly Monotone Functions Pareto Maximality Maximality with Respect to Extended Orders Maximality of Sections Proper Maximality and Weak Maximality Maximal Points of Free Disposal Hulls Existence The Main Theorems Generalization to Order-Complete Sets Existence via Monotone Functions Vector Optimization Problems Scalarization Optimality Conditions Differentiable Problems Lipschitz Continuous Problems Concave Problems Solution Methods Weighting Method Constraint Method Outer Approximation Method Bibliography Multi-Objective Combinatorial Optimization Matthias Ehrgott and Xavier Gandibleux Introduction Definitions and Properties Two Easy Problems: Multi-Objective Shortest Path and Spanning Tree Nice Problems: The Two-Phase Method The Two-Phase Method for Two Objectives The Two-Phase Method for Three Objectives Difficult Problems: Scalarization and Branch and Bound Scalarization Multi-Objective Branch and Bound Challenging Problems: Metaheuristics Conclusion Bibliography Index
520			_aFixed Point Theory, Variational Analysis, and Optimization not only covers three vital branches of nonlinear analysis—fixed point theory, variational inequalities, and vector optimization—but also explains the connections between them, enabling the study of a general form of variational inequality problems related to the optimality conditions involving differentiable or directionally differentiable functions. This essential reference supplies both an introduction to the field and a guideline to the literature, progressing from basic concepts to the latest developments. Packed with detailed proofs and bibliographies for further reading, the text: Examines Mann-type iterations for nonlinear mappings on some classes of a metric space Outlines recent research in fixed point theory in modular function spaces Discusses key results on the existence of continuous approximations and selections for set-valued maps with an emphasis on the nonconvex case Contains definitions, properties, and characterizations of convex, quasiconvex, and pseudoconvex functions, and of their strict counterparts Discusses variational inequalities and variational-like inequalities and their applications Gives an introduction to multi-objective optimization and optimality conditions Explores multi-objective combinatorial optimization (MOCO) problems, or integer programs with multiple objectives Fixed Point Theory, Variational Analysis, and Optimization is a beneficial resource for the research and study of nonlinear analysis, optimization theory, variational inequalities, and mathematical economics. It provides fundamental knowledge of directional derivatives and monotonicity required in understanding and solving variational inequality problems.
650		0	_aMathematical analysis.
650		0	_aFixed point theory.
650		0	_aMathematical optimization.
700	1		_aAl-Mezel, Saleh Abdullah R., _eeditor.
700	1		_aAl-Solamy, Falleh Rajallah M., _eeditor.
700	1		_aAnsari, Qamrul Hasan, _eeditor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cPROJECT
999			_c39879 _d39879