Iterative Methods for Linear Systems is a systematic computational approach within numerical linear algebra that approximates the solution to a system of linear equations through a sequence of progressively refined estimates generated by repeated application of a fixed algorithmic rule.
1.8K
Publications
142.4K
Citations
2.5K
Authors
991
Institutions
Publications per year
2017–2026
232
Parents
Publications
1.8K
1–5 of 1.8K
Authors
2.5K
- ZB
25
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- LR
20
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- GH
18
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- MD
17
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- MH
16
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1–5 of 2.5K
Institutions
991
Chinese Academy of Sciences
Beijing, China
26 h-index
42 publications
3.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
20 h-index
39 publications
2.6K citations
Academy of Mathematics and Systems Science
Beijing, China
19 h-index
29 publications
2.7K citations
Kent State University
Kent, United States
18 h-index
37 publications
1.3K citations
Stanford University
Stanford, United States
18 h-index
48 publications
5.7K citations
Amirkabir University of Technology
Tehran, Iran
17 h-index
36 publications
3K citations
Harbin Institute of Technology
Harbin, China
16 h-index
59 publications
2.5K citations
Utrecht University
Utrecht, The Netherlands
15 h-index
20 publications
2.2K citations
1–8 of 991
Venues
- SIAM Journal on Scientific Computing
90 publications · 6.7K citations
43
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- SIAM Journal on Matrix Analysis and Applications
83 publications · 7.5K citations
42
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- SIAM Journal on Numerical Analysis
62 publications · 5.2K citations
38
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- Numerical Linear Algebra with Applications
61 publications · 3.9K citations
31
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- Applied Mathematics and Computation
73 publications · 3.5K citations
29
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