JOURNAL ARTICLE

Note on dynamic relaxation

W. L. Wood

Year: 1971 Journal:   International Journal for Numerical Methods in Engineering Vol: 3 (1)Pages: 145-147   Publisher: Wiley

Abstract

Abstract The Dynamic Relaxation ( DR ) method of solving a set of simultaneous linear equations requires an estimate of the spectral radius of the matrix. Dividing each equation by the corresponding row sum of moduli of the elements of the matrix gives a convenient upper bound of unity to this. This note shows that the DR method then gives a faster asymptotic rate of the convergence than the degenerate Chebyshev method which it closely resembles.

Keywords:
Mathematics Spectral radius Relaxation (psychology) Chebyshev filter Mathematical analysis Matrix (chemical analysis) Moduli Convergence (economics) Degenerate energy levels Rate of convergence Upper and lower bounds Applied mathematics Set (abstract data type) Eigenvalues and eigenvectors Physics Computer science

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19
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FWCI (Field Weighted Citation Impact)
4
Refs
0.25
Citation Normalized Percentile
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Citation History

Topics

Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis

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