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Duality Principles in Nonconvex Systems : Theory, Methods and Applications

Author: David Yang Gao
Publisher: Boston, MA : Springer US, 2000.
Series: Nonconvex optimization and its applications, 39.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Motivated by practical problems in engineering and physics, drawing on a wide range of applied mathematical disciplines, this book is the first to provide, within a unified framework, a self-contained comprehensive mathematical theory of duality for general non-convex, non-smooth systems, with emphasis on methods and applications in engineering mechanics. Topics covered include the classical (minimax) mono-duality  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: David Yang Gao
ISBN: 9781475731767 1475731760
OCLC Number: 851822839
Description: 1 online resource (xviii, 454 pages).
Contents: I Symmetry in Convex Systems --
1. Mono-Duality in Static Systems --
2. Bi-Duality in Dynamical Systems --
II Symmetry Breaking: Triality Theory in Nonconvex Systems --
3. Tri-Duality in Nonconvex Systems --
4. Multi-Duality and Classifications of General Systems --
III Duality in Canonical Systems --
5. Duality in Geometrically Linear Systems --
6. Duality in Finite Deformation Systems --
7. Applications, Open Problems and Concluding Remarks --
Appendices --
A --
Duality in Linear Analysis --
A.1 Linear spaces and duality --
A.2 Bilinear Forms and Inner Product Spaces --
A.3 Linear functionals and Dual spaces --
B --
Linear Operators and Adjointness --
B.1 Linear Operators --
B.2 Adjoint Operators --
B.3 Duality Relations for Range and Nullspace --
C --
Nonlinear Operators --
C.1 Operators on Finite-Dimensional Spaces --
C.2 Monotone and Pseudo-Monotone Operators on Banach Spaces --
C.3 Potential Operators and Duality Mappings --
References.
Series Title: Nonconvex optimization and its applications, 39.
Responsibility: by David Yang Gao.

Abstract:

Motivated by practical problems in engineering and physics, drawing on a wide range of applied mathematical disciplines, this book is the first to provide, within a unified framework, a self-contained comprehensive mathematical theory of duality for general non-convex, non-smooth systems, with emphasis on methods and applications in engineering mechanics. Topics covered include the classical (minimax) mono-duality of convex static equilibria, the beautiful bi-duality in dynamical systems, the interesting tri-duality in non-convex problems and the complicated multi-duality in general canonical systems. A potentially powerful sequential canonical dual transformation method for solving fully nonlinear problems is developed heuristically and illustrated by use of many interesting examples as well as extensive applications in a wide variety of nonlinear systems, including differential equations, variational problems and inequalities, constrained global optimization, multi-well phase transitions, non-smooth post-bifurcation, large deformation mechanics, structural limit analysis, differential geometry and non-convex dynamical systems. With exceptionally coherent and lucid exposition, the work fills a big gap between the mathematical and engineering sciences. It shows how to use formal language and duality methods to model natural phenomena, to construct intrinsic frameworks in different fields and to provide ideas, concepts and powerful methods for solving non-convex, non-smooth problems arising naturally in engineering and science. Much of the book contains material that is new, both in its manner of presentation and in its research development. A self-contained appendix provides some necessary background from elementary functional analysis. Audience: The book will be a valuable resource for students and researchers in applied mathematics, physics, mechanics and engineering. The whole volume or selected chapters can also be recommended as a text for both senior undergraduate and graduate courses in applied mathematics, mechanics, general engineering science and other areas in which the notions of optimization and variational methods are employed.

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