Condition Number Estimation for Sparse Matrices
Copyright policy )Condition Number Estimation for Sparse Matrices
The LINPACK package of linear equation solving software provides a reliable and inexpensive algorithm for estimating the condition number of a dense matrix. The direct generalization to banded or sparse matrices is reliable, but not necessarily inexpensive. The simple modification described in this note can bring the cost of the algorithm back to a reasonable level.
LU decomposition, LINPACK subroutines, condition number estimation, sparse matrices, stability of the computation, Numerical computation of matrix norms, conditioning, scaling, scaling, triangular system, Direct numerical methods for linear systems and matrix inversion, Conditioning of matrices
LU decomposition, LINPACK subroutines, condition number estimation, sparse matrices, stability of the computation, Numerical computation of matrix norms, conditioning, scaling, scaling, triangular system, Direct numerical methods for linear systems and matrix inversion, Conditioning of matrices
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