Multilevel Optimization in VLSICAD [electronic resource] /
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.
Main Authors: | , , |
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Format: | Texto biblioteca |
Language: | eng |
Published: |
Boston, MA : Springer US : Imprint: Springer,
2003
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Subjects: | Engineering., Computers., Computer-aided engineering., Mathematical optimization., Electrical engineering., Electronics., Microelectronics., Electronic circuits., Electronics and Microelectronics, Instrumentation., Theory of Computation., Circuits and Systems., Electrical Engineering., Optimization., Computer-Aided Engineering (CAD, CAE) and Design., |
Online Access: | http://dx.doi.org/10.1007/978-1-4757-3748-6 |
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Summary: | 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. |
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