Quadratic Programming and Affine Variational Inequalities: A Qualitative Study by Gue Myung LeeQuadratic Programming and Affine Variational Inequalities: A Qualitative Study by Gue Myung Lee

Quadratic Programming and Affine Variational Inequalities: A Qualitative Study

byGue Myung Lee, N.N. Tam, Nguyen Dong Yen

Paperback | December 6, 2010

Pricing and Purchase Info

$226.64 online 
$245.95 list price save 7%
Earn 1,133 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

This book develops a unified theory on qualitative aspects of nonconvex quadratic programming and affine variational inequalities. One special feature of the book is that when a certain property of a characteristic map or function is investigated, the authors always try first to establish necessary conditions for it to hold, then they go on to study whether the obtained necessary conditions are also sufficient ones. This helps to clarify the structures of the two classes of problems under consideration. The qualitative results can be used for dealing with algorithms and applications related to quadratic programming problems and affine variational inequalities.
Title:Quadratic Programming and Affine Variational Inequalities: A Qualitative StudyFormat:PaperbackDimensions:359 pages, 9.25 × 6.1 × 0.03 inPublished:December 6, 2010Publisher:Springer USLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1441937137

ISBN - 13:9781441937131

Look for similar items by category:

Reviews

Table of Contents

Preface-Notations and Abbreviations-1. Quadratic Programming Problems-2. Existence Theorems for Quadratic Programs-3. Necessary and Sufficient Optimality Conditions for Quadratic Programs-4. Properties of the Solution Sets of Quadratic Programs-5. Affine Variational Inequalities-6. Solution Existence for Affine Variational Inequalities-7. Upper-Lipschitz Continuity of the Solution Map in Affine Variational Inequalities-8. Linear Fractional Vector Optimization Problems-9. The Traffic Equilibrium Problem-10. Upper Semicontinuity of the KKT Point Set Mapping-11. Lower Semicontinuity of the KKT Point Set Mapping-12. Continuity of the Solution Map in Quadratic Programming-13. Continuity of the Optimal Value Function in Quadratic Programming-14. Directional Differentiability of the Optimal Value Function-15. Quadratic Programming Under Linear Perturbations: I. Continuity of the Solution Maps-16. Quadratic Programming Under Linear Perturbations: II. Properties of the Optimal Value Function-17. Quadratic Programming Under Linear Perturbations: III. The Convex Case-18. Continuity of the Solution Map in Affine Variational Inequalities-References-Index

Editorial Reviews

From the reviews:"This book presents a detailed exposition of qualitative results for quadratic programming (QP) and affine variational inequalities (AVI). Both topics are developed into a unifying approach." (Walter Gómez Bofill, Zentralblatt MATH, Vol. 1092 (18), 2006)"This book presents a theory of qualitative aspects of nonconvex quadratic programs and affine variational inequalities. . Applications to fractional vector optimization problems and traffic equilibrium problems are discussed, too. The book is a valuable collection of many basic ideas and results for these classes of problems, and it may be recommended to researchers and advanced students not only in the field of optimization, but also in other fields of applied mathematics." (D. Klatte, Mathematical Reviews, Issue 2006 e)"This book presents a qualitative study of nonconvex quadratic programs and affine variational inequalities. . Most of the proofs are presented in a detailed and elementary way. . Whenever possible, the authors give examples illustrating their results. . In summary, this book can be recommended for advanced students in applied mathematics due to the clear and elementary style of presentation. . this book can be serve as an interesting reference for researchers in the field of quadratic programming, finite dimensional variational inequalities and complementarity problems." (M. Stingl, Mathemataical Methods of Operations Research, Vol. 65, 2007)