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Canonical Duality Theory : Unified Methodology for Multidisciplinary Study / edited by David Yang Gao, Vittorio Latorre, Ning Ruan.

EBSCOhost Academic eBook Collection (North America) Available online

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Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online

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Format:
Book
Contributor:
Gao, David Yang., Editor.
Latorre, Vittorio., Editor.
Ruan, Ning., Editor.
Series:
Advances in Mechanics and Mathematics, 1876-9896 ; 37
Language:
English
Subjects (All):
Mathematical optimization.
Mechanics.
Optimization.
Classical Mechanics.
Local Subjects:
Optimization.
Classical Mechanics.
Physical Description:
1 online resource (VIII, 377 p. 67 illus., 60 illus. in color.)
Edition:
1st ed. 2017.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
Summary:
This book on canonical duality theory provides a comprehensive review of its philosophical origin, physics foundation, and mathematical statements in both finite- and infinite-dimensional spaces. A ground-breaking methodological theory, canonical duality theory can be used for modeling complex systems within a unified framework and for solving a large class of challenging problems in multidisciplinary fields in engineering, mathematics, and the sciences. This volume places a particular emphasis on canonical duality theory’s role in bridging the gap between non-convex analysis/mechanics and global optimization. With 18 total chapters written by experts in their fields, this volume provides a nonconventional theory for unified understanding of the fundamental difficulties in large deformation mechanics, bifurcation/chaos in nonlinear science, and the NP-hard problems in global optimization. Additionally, readers will find a unified methodology and powerful algorithms for solving challenging problems in complex systems with real-world applications in non-convex analysis, non-monotone variational inequalities, integer programming, topology optimization, post-buckling of large deformed structures, etc. Researchers and graduate students will find explanation and potential applications in multidisciplinary fields. .
ISBN:
3-319-58017-5

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