Parallel Scientific Computing and Optimization Advances and Applicat
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 surveys, written by distingui
- PDF / 7,405,537 Bytes
- 287 Pages / 441 x 666 pts Page_size
- 81 Downloads / 195 Views
Springer Optimization and Its Applications VOLUME 27 Managing Editor Panos M. Pardalos (University of Florida) Editor—Combinatorial Optimization Ding-Zhu Du (University of Texas at Dallas) Advisory Board J. Birge (University of Chicago) C.A. Floudas (Princeton University) F. Giannessi (University of Pisa) H.D. Sherali (Virginia Polytechnic and State University) T. Terlaky (McMaster University) Y. Ye (Stanford University)
Aims and Scope Optimization has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in all areas of applied mathematics, engineering, medicine, economics and other sciences. The series Springer Optimization and Its Applications publishes undergraduate and graduate textbooks, monographs and state-of-the-art expository works that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.
PARALLEL SCIENTIFIC COMPUTING AND OPTIMIZATION Advances and Applications
By ˇ RAIMONDAS CIEGIS Vilnius Gediminas Technical University, Lithuania DAVID HENTY University of Edinburgh, United Kingdom ¨ ˚ BO KAGSTR OM Ume˚a University, Sweden ˇ JULIUS ZILINSKAS Vilnius Gediminas Technical University and Institute of Mathematics and Informatics, Lithuania
123
ˇ Raimondas Ciegis Department of Mathematical Modelling Vilnius Gediminas Technical University Saul˙etekio al. 11 LT-10223 Vilnius Lithuania [email protected]
David Henty EPCC The University of Edinburgh James Clerk Maxwell Building Mayfield Road Edinburgh EH9 3JZ United Kingdom [email protected]
Bo K˚agstr¨om Department of Computing Science and High Performance Computing Center North (HPC2N) Ume˚a University SE-901 87 Ume˚a Sweden [email protected]
ˇ Julius Zilinskas Vilnius Gediminas Technical University and Institute of Mathematics and Informatics Akademijos 4 LT-08663 Vilnius Lithuania [email protected]
ISSN: 1931-6828 ISBN: 978-0-387-09706-0
e-ISBN: 978-0-387-09707-7
Library of Congress Control Number: 2008937480 Mathematics Subject Classification (2000): 15-xx, 65-xx, 68Wxx, 90Cxx c Springer Science+Business Media, LLC 2009 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or schol
Data Loading...
