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Parallel Numerical Algorithms

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Cover of 'Parallel Numerical Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Numerical Algorithms: An Introduction
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    Chapter 2 On Parallel Numerical Software Libraries
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    Chapter 3 Parallel Direct Methods for Sparse Linear Systems
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    Chapter 4 Linear System Solvers: Sparse Iterative Methods
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    Chapter 5 Implicitly Restarted Arnoldi/Lanczos Methods for Large Scale Eigenvalue Calculations
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    Chapter 6 Approximate and Incomplete Factorizations
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    Chapter 7 Parallel Numerical Algorithms
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    Chapter 8 Domain Decomposition Methods for Partial Differential Equations
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    Chapter 9 Parallel FFTs
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    Chapter 10 Some Empirical Results on Using Multipole-Accelerated Iterative Methods to Solve 3-D Potential Integral Equations
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    Chapter 11 Multiresolution Representation and Numerical Algorithms: A Brief Review
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    Chapter 12 Graph Partitioning Algorithms with Applications to Scientific Computing
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    Chapter 13 An Introduction to Performance Debugging for Parallel Computers
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    Chapter 14 NAS Parallel Benchmark Results
Attention for Chapter 10: Some Empirical Results on Using Multipole-Accelerated Iterative Methods to Solve 3-D Potential Integral Equations
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