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＜電子ブック＞
Topological Structure of the Solution Set for Evolution Inclusions / by Yong Zhou, Rong-Nian Wang, Li Peng
(Developments in Mathematics. ISSN:2197795X ; 51)

版	1st ed. 2017.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2017
本文言語	英語
大きさ	XIV, 269 p : online resource
著者標目	*Zhou, Yong author Wang, Rong-Nian author Peng, Li author SpringerLink (Online service)
件　名	LCSH:Differential equations LCSH:Dynamical systems LCSH:Probabilities FREE:Differential Equations FREE:Dynamical Systems FREE:Probability Theory
一般注記	Preliminaries -- Evolution Inclusions with m-Dissipative Operator -- Evolution Inclusions with Hille-Yosida Operator -- Quasi-autonomous Evolution Inclusions -- Non-autonomous Evolution Inclusions and Control System -- Neutral Functional Evolution Inclusions -- Impulsive Evolution Inclusions -- Stochastic Evolution Inclusions -- Index This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution inclusions, together with its relevant applications in control problems and partial differential equations. It provides readers the background material needed to delve deeper into the subject and explore the rich research literature. In addition, the book addresses many of the basic techniques and results recently developed in connection with this theory, including the structure of solution sets for evolution inclusions with m-dissipative operators; quasi-autonomous and non-autonomous evolution inclusions and control systems;evolution inclusions with the Hille-Yosida operator; functional evolution inclusions; impulsive evolution inclusions; and stochastic evolution inclusions. Several applications of evolution inclusions and control systems are also discussed in detail. Based on extensive research work conducted by the authors and other experts over the past four years, the information presented is cutting-edge and comprehensive. As such, the book fills an important gap in the body of literature on the structure of evolution inclusions and its applications HTTP:URL=https://doi.org/10.1007/978-981-10-6656-6

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