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Lecture Notes in Computational Science and Engineering

Implementations, Algorithms and Applications

By: Karl Heinz Hoffmann (Editor), Arnd Meyer (Editor)

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Paperback | 26 July 2006

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382 Pages

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23.5 x 16.51 x 1.27

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Highperformancecomputinghaschangedthewayinwhichscienceprogresses. During the last 20 years the increase in computing power, the development of e?ective algorithms, and the application of these tools in the area of physics and engineering has been decisive in the advancement of our technological world. These abilities have allowed to treat problems with a complexity which had been out of reach for analytical approaches. While the increase in perf- mance of single processes has been immense the increase of massive parallel computing as well as the advent of clustercomputershas opened up the pos- bilities to study realistic systems. This book presents major advances in high performance computing as well as major advances due to high performance computing. The progress made during the last decade rests on the achie- ments in three distinct science areas. Openandpressingproblemsinphysicsandmechanicalengineeringarethe drivingforcebehindthedevelopmentofnewtoolsandnewapproachesinthese science areas. The treatment of complex physical systems with frustration and disorder, the analysis of the elastic and non-elastic movement of solids as well as the analysis of coupled ?uid systems, pose problems which are open to a numerical analysis only with state of the art computing power and algorithms. The desire of scienti?c accuracy and quantitative precision leads to an enormous demand in computing power. Asking the right questions in these areas lead to new insights which have not been available due to other means like experimental measurements. Thesecondareawhichisdecisivefore?ectivehighperformancecomputing is a realm of e?ective algorithms.

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Parallel programming models for irregular algorithms	p. 3
Basic approach to parallel finite element computations : the DD data splitting	p. 25
A performance analysis of ABINIT on a cluster system	p. 37
Some aspects of parallel postprocessing for numerical simulation	p. 53
Efficient preconditioners for special situations in finite element computations	p. 67
Nitsche finite element method for elliptic problems with complicated data	p. 87
Hierarchical adaptive FEM at finite elastoplastic deformations	p. 105
Wavelet matrix compression for boundary integral equations	p. 129
Numerical solution of optimal control problems for parabolic systems	p. 151
Parallel simulations of phase transitions in disordered many-particle systems	p. 173
Localization of electronic states in amorphous materials : recursive green's function method and the metal-insulator transition at E [actual symbol not reproducible] 0	p. 203
Optimizing simulated annealing schedules for amorphous carbons	p. 227
Amorphisation at heterophase interfaces	p. 235
Energy-level and wave-function statistics in the Anderson model for localization	p. 255
Fine structure of the integrated density of states for Bernoulli-Anderson models	p. 267
Modelling aging experiments in spin glasses	p. 281
Random walks on fractals	p. 303
Lyapunov instabilities of extended systems	p. 315
The cumulant method for gas dynamics	p. 335
Table of Contents provided by Blackwell. All Rights Reserved.

Lecture Notes in Computational Science and Engineering

Implementations, Algorithms and Applications

At a Glance

Paperback

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