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Multilevel Optimization in VLSICAD by Jason Cong β€” book cover

Multilevel Optimization in VLSICAD

by Jason Cong, Jason Cong (Editor), J. R. Shinnerl
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Overview

In the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints.

Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation.

Synopsis

This book gives a general overview of multiscale algorithms, discusses applications to general combinatorial optimization problems, and examines VLSICAD applications. There is also discussion of optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. The book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation. The editors teach in the computer science department at the University of California-Los Angeles. Annotation ©2003 Book News, Inc., Portland, OR

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Book Details

Published
March 1, 2003
Publisher
Springer-Verlag New York, LLC
Pages
318
Format
Hardcover
ISBN
9781402010811

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