first monograph entirely devoted to the rapidly developing area of second-order variational analysis and its applications to optimization, equilibria, stability, control, mechanics, and social-economic modeling.
includes recent results
contains a substantial number of exercises at various levels of difficulties with solution hints for more challenging ones
formulate open questions and conjectures together with extended commentaries and a large reference list at end of each chapter
comprehensive, systematically developed and entirely self-contained
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
This book is a valuable resource to a wide range of readers including researchers in the areas of nonlinear, variational, and convex analysis, optimization and systems control, as well as graduate students. (Ilya A. Shvartsman, Mathematical Reviews, June, 2025)
This self-contained book, authored by a well-known expert in non-smooth analysis and optimization, is the first comprehensive work on second-order variational analysis, including both numerical algorithms and practical applications. Each chapter includes historical context, key definitions, theorems, and examples/exercises for readers to complete. This structure makes the book a useful resource for both lecturers and students and offers inspiration for PhD students. the book is a valuable resource that can be recommended to scientific researchers, students . (Wieslaw Kotarski, zbMATH 1551.49001, 2025)
This self-contained book, authored by a well-known expert in non-smooth analysis and optimization, is the first comprehensive work on second-order variational analysis, including both numerical algorithms and practical applications. Each chapter includes historical context, key definitions, theorems, and examples/exercises for readers to complete. This structure makes the book a useful resource for both lecturers and students and offers inspiration for PhD students. the book is a valuable resource that can be recommended to scientific researchers, students . (Wieslaw Kotarski, zbMATH 1551.49001, 2025)
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