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Sparse Matrices and their Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Symposium on Sparse Matrices and Their Applications
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    Chapter 2 Eigenvalue Methods for Sparse Matrices
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    Chapter 3 Sparse Matrix Approach to the Frequency Domain Analysis of Linear Passive Electrical Networks
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    Chapter 4 Some Basic Techniques for Solving Sparse Systems of Linear Equations
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    Chapter 5 Vector and Matrix Variability Type in Sparse Matrix Algorithms
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    Chapter 6 The Partitioned Preassigned Pivot Procedure (P4)
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    Chapter 7 Modifying Triangular Factors of the Basis in the Simplex Method
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    Chapter 8 A New Iterative Procedure for the Solution of Sparse Systems of Linear Difference Equations
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    Chapter 9 Block Elimination on Finite Element Systems of Equations
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    Chapter 10 Application of the Finite Element Method to Regional Water Transport Phenomena
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    Chapter 11 On the use of Fast Methods for Separable Finite Difference Equations for the Solution of General Elliptic Problems
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    Chapter 12 Application of Sparse Matrices to Analytical Photogrammetry
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    Chapter 13 Generalized view of a Data Base
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    Chapter 14 Several Strategies for Reducing the Bandwidth of Matrices
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    Chapter 15 Graal — a Graph Algorithmic Language
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    Chapter 16 The Role of Partitioning in the Numerical Solution of Sparse Systems
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Mentioned by

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1 Wikipedia page

Citations

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117 Dimensions

Readers on

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4 Mendeley
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Title
Sparse Matrices and their Applications
Published by
Springer US, December 2012
DOI 10.1007/978-1-4615-8675-3
ISBNs
978-1-4615-8677-7, 978-1-4615-8675-3
Editors

Rose, Donald J., Willoughby, Ralph A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Physics and Astronomy 2 50%
Computer Science 1 25%
Engineering 1 25%