---

＜電子ブック＞
Geometry of Linear Matrix Inequalities : A Course in Convexity and Real Algebraic Geometry with a View Towards Optimization / by Tim Netzer, Daniel Plaumann
(Compact Textbooks in Mathematics. ISSN:2296455X)

版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2023
本文言語	英語
大きさ	VIII, 161 p. 34 illus., 29 illus. in color : online resource
著者標目	*Netzer, Tim author Plaumann, Daniel author SpringerLink (Online service)
件　名	LCSH:Algebraic geometry LCSH:Convex geometry  LCSH:Discrete geometry LCSH:Mathematical optimization FREE:Algebraic Geometry FREE:Convex and Discrete Geometry FREE:Optimization
一般注記	This textbook provides a thorough introduction to spectrahedra, which are the solution sets to linear matrix inequalities, emerging in convex and polynomial optimization, analysis, combinatorics, and algebraic geometry. Including a wealth of examples and exercises, this textbook guides the reader in helping to determine the convex sets that can be represented and approximated as spectrahedra and their shadows (projections). Several general results obtained in the last 15 years by a variety of different methods are presented in the book, along with the necessary background from algebra and geometry HTTP:URL=https://doi.org/10.1007/978-3-031-26455-9

 類似資料