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Table of contents (8 chapters)
Keywords
About this book
This is the first book to provide a complete and rigorous presentation of the quasidifferentiability approach to nonconvex, possibly nonsmooth, energy functions, of the derivation and study of the corresponding variational expressions in mechanics, engineering and economics, and of their numerical treatment. The new variational formulations derived are illustrated by many interesting numerical problems. The techniques presented will permit the reader to check any solution obtained by other heuristic techniques for nonconvex, nonsmooth energy problems. A civil, mechanical or aeronautical engineer can find in the book the only existing mathematically sound technique for the formulation and study of nonconvex, nonsmooth energy problems.
Audience: The book will be of interest to pure and applied mathematicians, physicists, researchers in mechanics, civil, mechanical and aeronautical engineers, structural analysts and software developers. It is also suitable for graduate courses in nonlinear mechanics, nonsmooth analysis, applied optimization, control, calculus of variations and computational mechanics.
Reviews
Daniel Goeleven in Mathematical Reviews, Issue 97h:49001
Authors and Affiliations
Bibliographic Information
Book Title: Quasidifferentiability and Nonsmooth Modelling in Mechanics, Engineering and Economics
Authors: Vladimir F. Dem’yanov, Georgios E. Stavroulakis, Ludmila N. Polyakova, Panagiotis D. Panagiotopoulos
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4615-4113-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1996
Hardcover ISBN: 978-0-7923-4093-5Published: 31 July 1996
Softcover ISBN: 978-1-4613-6844-1Published: 15 November 2013
eBook ISBN: 978-1-4615-4113-4Published: 21 November 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XVIII, 349
Topics: Software Engineering/Programming and Operating Systems, Optimization, Applications of Mathematics, Mathematical and Computational Engineering, Calculus of Variations and Optimal Control; Optimization