Parallel scientific computing and optimization - Info and Reading Options
advances and applications
By Raimondas Čiegis
"Parallel scientific computing and optimization" was published by Springer in 2009 - New York, N.Y, it has 274 pages and the language of the book is English.
“Parallel scientific computing and optimization” Metadata:
- Title: ➤ Parallel scientific computing and optimization
- Author: Raimondas Čiegis
- Language: English
- Number of Pages: 274
- Publisher: Springer
- Publish Date: 2009
- Publish Location: New York, N.Y
“Parallel scientific computing and optimization” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) - Parallel algorithms - Congresses - Mathematics - Industrial engineering - Industrial applications - Curve fitting - Estimation theory - Curves - Estimation, Théorie de l' - Congrès - Courbes empiriques - Electronic data processing - Matrix theory - Numerical analysis - Operations research
Edition Specifications:
- Pagination: xxiii, 274 p. :
Edition Identifiers:
- The Open Library ID: OL24573333M - OL15625015W
- Online Computer Library Center (OCLC) ID: 294859098 - 5564546
- Library of Congress Control Number (LCCN): 2008937480 - 79022814
- ISBN-13: 9780387097060
- ISBN-10: 0387097066
- All ISBNs: 0387097066 - 9780387097060
AI-generated Review of “Parallel scientific computing and optimization”:
"Parallel scientific computing and optimization" Description:
The Open Library:
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.
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