| 書目名稱 | Decomposition Techniques in Mathematical Programming | | 副標題 | Engineering and Scie | | 編輯 | Antonio J. Conejo,Enrique Castillo,Raquel García-B | | 視頻video | http://file.papertrans.cn/265/264471/264471.mp4 | | 概述 | User-oriented written, easy to follow.Comprehensive approach decomposition methods in linear and nonlinear programming, providing rigorous and heuristic real world algorithms.Includes a lot of example | | 圖書封面 |  | | 描述 | Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageously exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learni | | 出版日期 | Book 2006 | | 關(guān)鍵詞 | Decomposition Techniques; Nonstandard Optimization Methods; Operations Research; algorithm; algorithms; c | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-27686-6 | | isbn_softcover | 978-3-642-06607-8 | | isbn_ebook | 978-3-540-27686-9 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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