| 書目名稱 | Multiscale Optimization Methods and Applications |
| 編輯 | William W. Hager,Shu-Jen Huang,Oleg A. Prokopyev |
| 視頻video | http://file.papertrans.cn/642/641171/641171.mp4 |
| 概述 | Provides an outstanding insight into solution methodologies for tackling difficult or large-scale optimization problems that arise in science and industry.Includes supplementary material: |
| 叢書名稱 | Nonconvex Optimization and Its Applications |
| 圖書封面 |  |
| 描述 | .As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level. This volume contains 22 chapters highlighting some recent research. The topics of the chapters selected for this volume are focused on the development of new solution methodologies, including general multilevel solution techniques, for tackling difficult, large-scale optimization problems that arise in science and industry. Applications presented in the book include but are not limited to the circuit placement problem in VLSI design, a wireless sensor location problem, optimal dosages in the treatment of cancer by radiation therapy, and facility location.. |
| 出版日期 | Book 2006 |
| 關鍵詞 | Analysis; Sage; VLSI; algorithms; automation; combinatorial optimization; database; databases; image process |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-29550-X |
| isbn_softcover | 978-1-4899-9184-3 |
| isbn_ebook | 978-0-387-29550-3Series ISSN 1571-568X |
| issn_series | 1571-568X |
| copyright | Springer-Verlag US 2006 |
|Archiver|手機版|小黑屋|
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