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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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hager, William W. (Editor, http://id.loc.gov/vocabulary/relators/edt), Huang, Shu-Jen. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pardalos, Panos M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Prokopyev, Oleg A. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Nonconvex Optimization and Its Applications, 82
Subjects:
Mathematical optimization.
Operations research.
Management science.
Computer mathematics.
Optimization.
Operations Research, Management Science.
Computational Science and Engineering.
Online Access:https://doi.org/10.1007/0-387-29550-X
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https://doi.org/10.1007/0-387-29550-X

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