Linear Solver Convergence
Linear Solver Convergence is the property of an iterative algorithm to approach a solution of a system of linear equations within a prescribed tolerance as the number of iterations increases, characterized by the diminishing residual error according to a specific convergence criterion.
117
Publications
9.4K
Citations
235
Authors
121
Institutions
Publications per year
2017–2026
34
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121

Chinese Academy of Sciences
Beijing, China
6 h-index
7 publications
540 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
10 publications
568 citations

University of Minnesota
Minneapolis, United States
5 h-index
7 publications
932 citations
Arizona State University
Tempe, United States
3 h-index
4 publications
85 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
3 h-index
3 publications
853 citations
Academy of Mathematics and Systems Science
Beijing, China
3 h-index
4 publications
140 citations

National Taiwan University
Taipei, Taiwan
3 h-index
7 publications
5.3K citations
Iowa State University
Ames, United States
3 h-index
3 publications
853 citations
1–8 of 121
10 publications · 642 citations
10
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6 publications · 857 citations
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6 publications · 562 citations
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Repository · 7 publications · 439 citations
6
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5 publications · 286 citations
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