Multiscale Optimization Methods And Applications

Hager, William W. (EDT); Huang, Shu-Jen (EDT); Pardalos, Panos M. (EDT); Prokopyev, Oleg A. (EDT); Conference on Multiscale Optimization Me (EDT)

ISBN 10: 0387295496 / ISBN 13: 9780387295497

Verlag: Springer, 2005

Beschreibung

Unread book in perfect condition.

Bestandsnummer des Verkäufers 4083560

Bibliografische Details

• Titel: Multiscale Optimization Methods And Applications
• Verlag: Springer
• Erscheinungsjahr: 2005
• Sprache: Englisch
• ISBN-10: 0387295496
• ISBN-13: 9780387295497
• Einband: Hardcover
• Zustand: As New

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.