Multilevel Optimization in Vlsicad

Jingsheng Jason Cong

ISBN 10: 1402010818 / ISBN 13: 9781402010811

Published by Springer Us Mär 2003, 2003

About this Item

Neuware - 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.

Seller Inventory # 9781402010811

Bibliographic Details

• Title: Multilevel Optimization in Vlsicad
• Publisher: Springer Us Mär 2003
• Publication Date: 2003
• Language: English
• ISBN 10: 1402010818
• ISBN 13: 9781402010811
• Binding: Buch
• Condition: Neu
• Dimensions: 252W x 161H x 18D millimeters 252 millimeters width by 161 millimeters height by 18 millimeters depth
• Weight: 694 grams

About this title

Synopsis

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.