Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.
ReviewsFrom the reviews:
"This book reflects the state of the art in parallel algorithms and their implementation for solving optimization problems and applications involving such problems. ... the volume is recommended for graduate students and researchers in applied mathematics and computer science. Scientists engaged in parallel scientific computing ... welcome this compilation of latest achievements in this field." (Dana Petcu, Mathematical Reviews, Issue 2009 m)
Book InformationISBN 9781441918840
Author Raimondas CiegisFormat Paperback
Page Count 274
Imprint Springer-Verlag New York Inc.Publisher Springer-Verlag New York Inc.