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Canonical Duality Theory : Unified Methodology for Multidisciplinary Study / edited by David Yang Gao, Vittorio Latorre, Ning Ruan
(Advances in Mechanics and Mathematics. ISSN:18769896 ; 37)
版 | 1st ed. 2017. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2017 |
本文言語 | 英語 |
大きさ | VIII, 377 p. 67 illus., 60 illus. in color : online resource |
著者標目 | Gao, David Yang editor Latorre, Vittorio editor Ruan, Ning editor SpringerLink (Online service) |
件 名 | LCSH:Mathematical optimization LCSH:Mechanics FREE:Optimization FREE:Classical Mechanics |
一般注記 | 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. HTTP:URL=https://doi.org/10.1007/978-3-319-58017-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319580173 |
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EB00230453 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA402.5-402.6 DC23:519.6 |
書誌ID | 4000119423 |
ISBN | 9783319580173 |
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