Multiscale optimization methods and applications

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 th...

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Detaylı Bibliyografya
Yazar: Hager, William W.
Diğer Yazarlar: Huang, Shu-Jen (Yayın yönetmeni), Pardalos, Panos M. (Yayın yönetmeni), Prokopyev, Oleg A. (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer US [20..].
Cham : Springer Nature
Edisyon:1st ed. 2006.
Seri Bilgileri:Nonconvex optimization and its applications 82
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Not: Description d'après consultation du 13 avril 2011
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Edition sous un autre format:• Multiscale optimization methods and applications, edited by William W. Hager,... Shu-Jen Huang,... Panos M. Pardalos,... [et al], [Berlin], Springer, 2006, 1 vol. (XVII-407 p.), Nonconvex optimization and its applications, 978-0-387-29549-7
• Multiscale Optimization Methods and Applications, Texte imprimé, 9780387510248
• Multiscale Optimization Methods and Applications, Texte imprimé, 9781489991843
Diğer Bilgiler
Özet: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. Audience: Multiscale Optimization Methods and Applications is intended for graduate students and researchers in optimization, computer science, and engineering
Diğer Bilgileri:Description d'après consultation du 13 avril 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliyografya:Notes bibliogr.
ISBN:9780387295503
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