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.