Parallel Scientific Computing and Optimization
Advances and Applications
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Beschreibung
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.
Includes 23 survey articles written by distinguished mathematicians Presents new developments in the construction, analysis, and implementation of parallel computing algorithms Construction and analysis of parallel algorithms for linear algebra and optimization problems Different aspects of parallel architechtures, including distributed memory computers with multicore processors 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 Includes supplementary material: sn.pub/extras
Autor*in
Raimondas Ciegis
Themen in »Parallel Scientific Computing and Optimization«
Analysis Matrix algorithm algorithms computer science global optimization model modeling modelling molecular dynamics multidimensional scaling optimization programming scientific computing simulation
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From 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)
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