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Variational and Monotonicity Methods in Nonsmooth Analysis

Variational and Monotonicity Methods in Nonsmooth Analysis
Catalogue Information
Field name Details
Dewey Class 515.35
Title Variational and Monotonicity Methods in Nonsmooth Analysis ([EBook] /) / by Nicuşor Costea, Alexandru Kristály, Csaba Varga.
Author Costea, Nicuşor
Added Personal Name Kristály, Alexandru
Varga, Csaba
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2021.
Publication Cham : : Springer International Publishing : : Imprint: Birkhäuser, , 2021.
Physical Details XVI, 446 p. 3 illus. in color. : online resource.
Series Frontiers in Mathematics 1660-8054
ISBN 9783030816711
Summary Note This book provides a modern and comprehensive presentation of a wide variety of problems arising in nonlinear analysis, game theory, engineering, mathematical physics and contact mechanics. It includes recent achievements and puts them into the context of the existing literature. The volume is organized in four parts. Part I contains fundamental mathematical results concerning convex and locally Lipschits functions. Together with the Appendices, this foundational part establishes the self-contained character of the text. As the title suggests, in the following sections, both variational and topological methods are developed based on critical and fixed point results for nonsmooth functions. The authors employ these methods to handle the exemplary problems from game theory and engineering that are investigated in Part II, respectively Part III. Part IV is devoted to applications in contact mechanics. The book will be of interest to PhD students and researchers in applied mathematics as well as specialists working in nonsmooth analysis and engineering.:
Mode of acces to digital resource Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-030-81671-1
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