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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Multilevel Optimization in VLSICAD
Editors: Jason Cong, Joseph R. Shinnerl
Series Title: Combinatorial Optimization
DOI: https://doi.org/10.1007/978-1-4757-3748-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
Hardcover ISBN: 978-1-4020-1081-1Published: 31 March 2003
Softcover ISBN: 978-1-4419-5240-0Published: 21 September 2011
eBook ISBN: 978-1-4757-3748-6Published: 14 March 2013
Series ISSN: 1388-3011
Edition Number: 1
Number of Pages: XIX, 299
Number of Illustrations: 77 b/w illustrations
Topics: Electronics and Microelectronics, Instrumentation, Theory of Computation, Circuits and Systems, Electrical Engineering, Optimization, Computer-Aided Engineering (CAD, CAE) and Design