Convergence of waveform relaxation methods for Hermitian positive definite linear systems

Zhou Sheng; Ting‐Zhu Huang

doi:10.1016/j.amc.2008.05.123

ScienceGate Book Chapters

JOURNAL ARTICLE

Convergence of waveform relaxation methods for Hermitian positive definite linear systems

Zhou Sheng Ting‐Zhu Huang

Year: 2008 Journal: Applied Mathematics and Computation Vol: 203 (2)Pages: 943-952 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2008.05.123

Get Full-Text PDF Get Analytical Report

Keywords:

Positive-definite matrix Mathematics Hermitian matrix Relaxation (psychology) Convergence (economics) Ordinary differential equation Coefficient matrix Iterative method Initial value problem Applied mathematics Mathematical analysis Waveform Linear system Numerical analysis Matrix (chemical analysis) Differential equation Algorithm Pure mathematics Physics Eigenvalues and eigenvectors

Metrics

Cited By

1.03

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Matrix Theory and Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Numerical methods for differential equations

Physical Sciences → Mathematics → Numerical Analysis

Electromagnetic Scattering and Analysis

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

Convergence of waveform relaxation methods for Hermitian positive definite linear systems

Metrics

Citation History

Topics

Related Documents

On convergence of splitting iteration methods for non-Hermitian positive-definite linear systems

Positive Definite and Semi-Definite Splitting Methods for Non-Hermitian Positive Definite Linear Systems

Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems

Convergence on successive over-relaxed iterative methods for non-Hermitian positive definite linear systems

Asymmetric Hermitian and skew-Hermitian splitting methods for positive definite linear systems