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  5. Nonlinear Generalizations of Matrix Diagonal Dominance with Application to Gauss-Seidel Iterations

Nonlinear Generalizations of Matrix Diagonal Dominance with Application to Gauss-Seidel Iterations

File(s)
71-90.pdf (1.6 MB)
71-90.ps (686.46 KB)
Permanent Link(s)
https://hdl.handle.net/1813/5966
Collections
Computer Science Technical Reports
Author
More, Jorge J.
Abstract

A new class of nonlinear mappings is introduced which contains, in the linear case, the strictly and irreducibly diagonally dominant matrices as well as other classes of matrices introduced by Duffin and Walter. We then extend some of the properties of the above mentioned matrices to these weakly $\Omega$-diagonally dominant functions, and point out their connection to the M- and P- functions studied by Rheinboldt, and More and Rheinboldt, respectively. Finally, new convergence theorems for the nonlinear Jacobi and Gauss-Seidel iterations are presented.

Date Issued
1971-01
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR71-90
Type
technical report

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