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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multiscale Optimization Methods and Applications

Multiscale Optimization Methods and Applications

Huang, Shu-Jen
Pardalos, Panos M.
Hager, William W.

Hardcover

Series: Nonconvex Optimization and Its Applications, Book 82

General MathematicsProbability & Statistics

ISBN10: 0387295496
ISBN13: 9780387295497
Publisher: Springer
Published: Dec 9 2005
Pages: 407
Weight: 1.70
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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.

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General Mathematics

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