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Parallelism in Matrix Computations

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Cover of 'Parallelism in Matrix Computations'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Programming Paradigms
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    Chapter 2 Fundamental Kernels
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    Chapter 3 Recurrences and Triangular Systems
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    Chapter 4 General Linear Systems
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    Chapter 5 Banded Linear Systems
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    Chapter 6 Special Linear Systems
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    Chapter 7 Orthogonal Factorization and Linear Least Squares Problems
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    Chapter 8 The Symmetric Eigenvalue and Singular-Value Problems
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    Chapter 9 Iterative Schemes for Large Linear Systems
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    Chapter 10 Preconditioners
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    Chapter 11 Large Symmetric Eigenvalue Problems
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    Chapter 12 Matrix Functions and the Determinant
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    Chapter 13 Computing the Matrix Pseudospectrum
Attention for Chapter 13: Computing the Matrix Pseudospectrum
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