Multiscale Optimization Methods and Applications

. Ed(s): Hager, William W.; Huang, Shu-Jen (University of Florida); Pardalos, Panos M.; Prokopyev, Oleg A. (University of Florida)

ISBN 10: 0387295496 / ISBN 13: 9780387295497

Published by Springer-Verlag New York Inc., 2005

Focuses on the development of solution methodologies, including general multilevel solution techniques, for tackling large-scale optimization problems that arise in science and industry. This book presents applications, such as the circuit placement problem in VLSI design, optimal dosages in the treatment of cancer by radiation therapy, and more. Editor(s): Hager, William W.; Huang, Shu-Jen (University of Florida); Pardalos, Panos M.; Prokopyev, Oleg A. (University of Florida). Series: Nonconvex Optimization and Its Applications. Num Pages: 424 pages, biography. BIC Classification: PBU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 23. Weight in Grams: 1710. . 2005. Hardback. . . . . Seller Inventory # V9780387295497

Synopsis:

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.

From the Back Cover:

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.

Bibliographic Details

Title: Multiscale Optimization Methods and ...
Publisher: Springer-Verlag New York Inc.
Publication Date: 2005
Binding: Hardcover
Condition: New