Variational Analysis and Applications

Presents applications focusing on new classes of variational problems and models from economics, applied sciences, and engineering

Comprehensive commentaries emphasize the essence of major results, track the genesis of ideas, provide historical comments, and illuminate challenging open questions and directions for future research

Large number of exercises help readers better understand the basic material and develop research skills

Presents applications focusing on new classes of variational problems and models from economics, applied sciences, and engineering Comprehensive commentaries emphasize the essence of major results, track the genesis of ideas, provide historical comments, and illuminate challenging open questions and directions for future research Large number of exercises help readers better understand the basic material and develop research skills

Auteur

Boris S. Mordukhovich is a Distinguished University Professor of Mathematics at Wayne State University. His areas of research include optimization and variational analysis, control theory, nonlinear systems, generalized differentiation, and various applications. Professor Mordukhovich has authored more than 400 publications including two volumes in Springer's Grundlehren series entitled "Variational Analysis and Generalized Differentiation." He is a Fellow of the American Mathematical Society (AMS) and the Society of Industrial and Applied Mathematics (SIAM).

Résumé
"This exceptionally well-written research monograph ... presents material which is of profound importance and is meticulously chosen and organized. The mathematically precise and crisp presentation style would undoubtedly help the reader in acquiring a deep understanding of the subject. I believe that this monograph would not only be of great benefit to the research community actively engaged in variational analysis but would also encourage newcomers who are willing to learn the subject." (Akhtar A. Khan, SIAM Review, Vol. 62 (1), 2020)
"The book provides a self-contained, systematic and comprehensive exposition of keys concepts and principles of variational analysis, offering to specialists an updated view on the state of the art of a fast-growing field of research ... . the rich anthology of exercises, guiding and stimulating the reader's comprehension, makes the book a usable text for teaching variational analysis to a large audience of graduate students, researchers and practitioners (not only in the mathematical sciences)." (Amos Uderzo, Mathematical Reviews, July, 2019)
"I am enthusiastic about its highly reader-friendly, well-structured presentation. It makes the book, apart from its mathematical contents, an aesthetic joy. ... I consider this monograph to be a highly instructive, well-structured and clearly written presentation of modern variational analysis from the perspective of nonconvex and dual generalized differential calculus. I do not hesitate to recommend this excellent work to everybody interested in this field of mathematics, to specialists as well as to young researchers." (René Henrion, Optimization Letters, Optimization Letters, Vol. 13, 2019)

"Written by an expert in the areas of variational analysis and optimization and based on his didactic experience, this is an excellent textbook. By the wealth of information contained in the second part of the book and in exercises,it can be also used by researchers in optimization theory and its applications as a reference text." (S. Cobzas, Studia Universitatis Babes-Bolyai Mathematica, Vol. 6 (04). 2018)
"This book is on the one hand a valuable tool for teaching and learning variational analysis, with exercises ranging from medium level to more difficult and numerous illustrative examples and figures. On the other hand, it represents a basis for future research in various fields of mathematics and its applications." (Radu Ioan Bot, zbMATH 1402.49003, 2019)

Contenu
Preface.- Part 1. Basics of First-Order Analysis.-1. First-Order Generalized Differentiation.- 2. Extremality, Well-Posedness, Calculus Rules.- 3. Optimization via Generalized Differentiation.- Part 2. Second-Order Analysis.- 4. Second-Order Subdifferentials.- 5. Second-Order Subdifferential Calculus.- 6. Full and Tilt Stability of Local Minimizers.- 7. Full Stability for Parametric Variational Systems.- Part 3. Selected Applications.- 8. Full and Tilt Stability in Constrained Optimization.-9. Higher-Order Stability and Numerical Analysis.- 10. Optimal Control of the Sweeping Process.- 11. Microeconomic Modeling.- References.- List of Statements.- Glossary of Notation.- Subject Index.