Parallel Scientific Computing and Optimization

Raimondas Ciegis

ISBN 10: 1441918841 / ISBN 13: 9781441918840

Published by Springer US, Springer New York Nov 2010, 2010

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch.

Seller Inventory # 9781441918840

Bibliographic Details

• Title: Parallel Scientific Computing and Optimization
• Publisher: Springer US, Springer New York Nov 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 1441918841
• ISBN 13: 9781441918840
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

From the Back Cover

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 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.

Key features include:

* construction and analysis of parallel algorithms for linear algebra and optimization problems;

* different aspects of parallel architectures, including distributed memory computers with multicore processors;

* a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.

This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.