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9780387004525

Variational Methods in Partially Ordered Spaces

by ; ; ; ;
  • ISBN13:

    9780387004525

  • ISBN10:

    0387004521

  • Format: Hardcover
  • Copyright: 2003-08-01
  • Publisher: Springer Nature

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Summary

In mathematical modeling of processes one often encountersoptimization problems involving more than one objective function, sothat Multiobjective Optimization (or Vector Optimization) has receivednew impetus. The growing interest in multiobjective problems, bothfrom the theoretical point of view and as it concerns applications toreal problems, asks for a general scheme which embraces severalexisting developments and stimulates new ones. In this book theauthors provide the newest results and applications of this quicklygrowing field.This book will be of interest to graduate students in mathematics,economics, and engineering, as well as researchers in pure and appliedmathematics, economics, engineering, geography, and town planning. Asound knowledge of linear algebra and introductory real analysisshould provide readers with sufficient background for this book.

Table of Contents

Preface v
List of Figures
xiii
Examples
1(12)
Cones in Vector Spaces
1(2)
Equilibrium Problems
3(3)
Location Problems in Town Planning
6(2)
Multicriteria Control Problems
8(2)
Multicriteria Fractional Programming Problems
10(1)
Stochastic Efficiency in a Set
11(2)
Functional Analysis over Cones
13(68)
Order Structures
13(13)
Functional Analysis and Convexity
26(13)
Separation Theorems for Not Necessarily Convex Sets
39(6)
Convexity Notions for Sets and Multifunctions
45(6)
Continuity Notions for Multifunctions
51(19)
Continuity Properties of Multifunctions Under Convexity Assumptions
70(3)
Tangent Cones and Differentiability of Multifunctions
73(8)
Optimization in Partially Ordered Spaces
81(148)
Solution Concepts
81(5)
Approximate Minimality
81(3)
A General Scalarization Method
84(2)
Existence Results for Efficient Points
86(29)
Preliminary Notions and Results Concerning Transitive Relations
87(2)
Existence of Maximal Elements with Respect to Transitive Relations
89(5)
Existence of Efficient Points with Respect to Cones
94(7)
Types of Convex Cones and Compactness with Respect to Cones
101(3)
Classification of Existence Results for Efficient Points
104(6)
Some Density and Connectedness Results
110(5)
Continuity Properties with Respect to a Scalarization Parameter
115(4)
Well-Posedness of Vector Optimization Problems
119(3)
Continuity Properties
122(19)
Continuity Properties of Optimal-Value Multifunctions
122(13)
Continuity Properties for the Optimal Multifunction in the Case of Moving Cones
135(3)
Continuity Properties for the Solution Multifunction
138(3)
Sensitivity of Vector Optimization Problems
141(13)
Duality
154(14)
Duality Without Scalarization
155(4)
Duality by Scalarization
159(3)
Duality for Approximation Problems
162(6)
Vector Equilibrium Problems and Related Topics
168(18)
Vector Equilibrium Problems
169(2)
General Vector Monotonicity
171(1)
Existence of Vector Equilibria by Use of the Generalized KKM Lemma
172(2)
Existence by Scalarization of Vector Equilibrium Problems
174(3)
Some Knowledge About the Assumptions
177(3)
Some Particular Cases
180(3)
Mixed Vector Equilibrium Problems
183(3)
Applications to Vector Variational Inequalities
186(11)
Vector Variational-Like Inequalities
186(2)
Perturbed Vector Variational Inequalities
188(1)
Hemivariational Inequality Systems
189(3)
Vector Complementarity Problems
192(2)
Application to Vector Optimization Problems
194(2)
Minimax Theorem for Vector-Valued Mappings
196(1)
Minimal-Point Theorems in Product Spaces and Corresponding Variational Principles
197(16)
Not Authentic Minimal-Point Theorems
199(3)
Authentic Minimal-Point Theorems
202(3)
Minimal-Point Theorems and Gauge Techniques
205(4)
Minimal-Point Theorems and Cone-Valued Metrics
209(3)
Fixed Point Theorems of Kirk-Caristi Type
212(1)
Optimality Conditions
213(16)
Lagrange Multipliers and Saddle Point Assertions
213(5)
ε-Saddle Point Assertions
218(11)
Applications
229(90)
Approximation Problems
229(15)
General Approximation Problems
229(6)
Finite-dimensional Approximation Problems
235(6)
Lp-Approximation Problems
241(1)
Example: The Inverse Stefan Problem
242(2)
Solution Procedures
244(38)
A Proximal-Point Algorithm for Real-Valued Control Approximation Problems
244(15)
Computer Programs for the Application of the Proximal-Point Algorithm
259(4)
An Interactive Algorithm for the Vector Control Approximation Problem
263(3)
Proximal Algorithms for Vector Equilibrium Problems
266(11)
Relaxation and Penalization
277(5)
Location Problems
282(12)
Formulation of the Problem
282(3)
An Algorithm for the Multicriteria Location Problem
285(1)
A Mathematica Program for Solving the Multicriteria Location Problem
286(1)
Comparison of Alternatives
287(2)
Application to a Problem of Town Planning
289(5)
Multicriteria Fractional Programming
294(9)
Solution Concepts
294(3)
Generalized Dinkelbach Transformation
297(3)
Possibilities for a Solution Approach
300(3)
Multicriteria Control Problems
303(13)
The Formulation of the Problem
303(1)
An ε-Minimum Principle for Multicriteria Optimal Control Problems
304(5)
A Multicriteria Stochastic Control Problem
309(7)
Stochastic Efficiency in a Set
316(3)
List of Abbreviations 319(6)
References 325(20)
Index 345

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