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Titlebook: An Easy Path to Convex Analysis and Applications; Boris Mordukhovich,Nguyen Mau Nam Book 2023Latest edition The Editor(s) (if applicable)

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樓主: HAVEN
21#
發(fā)表于 2025-3-25 03:46:03 | 只看該作者
,Applications to?Location Problems,e of which in numerous applications is difficult to overstate. The classical problems of this type go back to Fermat, Torricelli, Sylvester along with other mathematicians and applied scientists, but there are generalized versions of such problems that are also formulated and investigated in what follows from the viewpoint of convex analysis.
22#
發(fā)表于 2025-3-25 09:36:27 | 只看該作者
23#
發(fā)表于 2025-3-25 14:23:42 | 只看該作者
https://doi.org/10.1007/978-3-662-26149-1ers in optimization problems and of Nash equilibria in two-person games, necessary and sufficient optimality conditions in convex constrained optimization, and subgradient methods to solve such problems numerically in both unconstrained and constrained frameworks.
24#
發(fā)表于 2025-3-25 19:20:19 | 只看該作者
25#
發(fā)表于 2025-3-25 21:57:38 | 只看該作者
An Easy Path to Convex Analysis and Applications978-3-031-26458-0Series ISSN 1938-1743 Series E-ISSN 1938-1751
26#
發(fā)表于 2025-3-26 03:20:09 | 只看該作者
27#
發(fā)表于 2025-3-26 08:16:00 | 只看該作者
https://doi.org/10.1007/978-3-662-26149-1ers in optimization problems and of Nash equilibria in two-person games, necessary and sufficient optimality conditions in convex constrained optimization, and subgradient methods to solve such problems numerically in both unconstrained and constrained frameworks.
28#
發(fā)表于 2025-3-26 08:38:19 | 只看該作者
29#
發(fā)表于 2025-3-26 15:25:05 | 只看該作者
Book 2023Latest editionvariational analysis are employed to clarify and simplify some basic proofs in convex analysis and to build a?theory of generalized differentiation for convex functions and sets in finite dimensions.?The book serves as a bridge for the readers who have just started using convex analysis to reach dee
30#
發(fā)表于 2025-3-26 18:02:27 | 只看該作者
1938-1743 numerical applications to convex optimization and geometry.This book examines the most fundamental parts of convex analysis and its applications to?optimization and location problems. Accessible techniques of variational analysis are employed to clarify and simplify some basic proofs in convex anal
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