.png){kind=icon}
.png){kind=icon}
Return
Convergence theorems for parallel alternating iterative methods
.png){kind=icon}
PRE
AI
DOI：10.1016/S0096-3003(02)00916-5.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The parallel multisplitting nonstationary iterative Model A was introduced by Bru, Elsner, and Neumann [Linear Algebra Appl. 103 (1988) 175-192] for solving nonsingular linear system Ax = b using a weak nonnegative multisplitting of the first type. In this paper new results using a weak nonnegative multisplitting of the second type are introduced when A is a monotone matrix, and using P-regular multisplitting when A is a symmetric positive definite matrix. Combining Model A and alternating iterative methods, two new models of parallel multisplitting nonstationary iterations are introduced. It is shown that when matrix A is monotone and the multisplittings are weak nonnegative of the first or second type, both models lead to convergent schemes. When matrix A is symmetric positive definite and the multisplittings are P-regular, the schemes are also convergent. (C) 2003 Elsevier Inc. All rights reserved.
Keywords:
nonsingular matrix
iterative method
splitting
multisplitting
alternating method
stationary method
nonstationary method
convergence conditions
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.4
Papers:
2.3W
Citations:
3.3W
Organization
No organization information available