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A Survey of Condition Number Estimation for Triangular Matrices
by
Higham, Nicholas J.
in
Algorithms
/ Cost estimates
/ Decomposition
/ Eigenvalues
/ Eigenvectors
/ Estimate reliability
/ Estimation methods
/ Estimators
/ Exact sciences and technology
/ Least squares
/ Linear algebra
/ Mathematics
/ Matrices
/ Norms
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical linear algebra
/ Sciences and techniques of general use
1987
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A Survey of Condition Number Estimation for Triangular Matrices
by
Higham, Nicholas J.
in
Algorithms
/ Cost estimates
/ Decomposition
/ Eigenvalues
/ Eigenvectors
/ Estimate reliability
/ Estimation methods
/ Estimators
/ Exact sciences and technology
/ Least squares
/ Linear algebra
/ Mathematics
/ Matrices
/ Norms
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical linear algebra
/ Sciences and techniques of general use
1987
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Do you wish to request the book?
A Survey of Condition Number Estimation for Triangular Matrices
by
Higham, Nicholas J.
in
Algorithms
/ Cost estimates
/ Decomposition
/ Eigenvalues
/ Eigenvectors
/ Estimate reliability
/ Estimation methods
/ Estimators
/ Exact sciences and technology
/ Least squares
/ Linear algebra
/ Mathematics
/ Matrices
/ Norms
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical linear algebra
/ Sciences and techniques of general use
1987
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A Survey of Condition Number Estimation for Triangular Matrices
Journal Article
A Survey of Condition Number Estimation for Triangular Matrices
1987
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Overview
We survey and compare a wide variety of techniques for estimating the condition number of a triangular matrix, and make recommendations concerning the use of the estimates in applications. Each of the methods is shown to bound the condition number; the bounds can broadly be categorised as upper bounds from matrix theory and lower bounds from heuristic or probabilistic algorithms. For each bound we examine by how much, at worst, it can overestimate or underestimate the condition number. Numerical experiments are presented in order to illustrate and compare the practical performance of the condition estimators.
Publisher
The Society for Industrial and Applied Mathematics,Society for Industrial and Applied Mathematics
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