Error Estimation for Eigenvalue Problems is a computational framework within numerical linear algebra that quantifies the discrepancy between approximate and exact eigenvalues and eigenvectors, distinguished by its focus on deriving rigorous bounds or indicators of solution accuracy in eigenvalue computations.
386
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21.8K
Citations
643
Authors
332
Institutions
Publications per year
2017–2026
43
Parents
Publications
386
An Introduction to Numerical Analysis
F. S., Kendall Atkinson · Mathematics of Computation · 1990 · 3.1K citations
1–5 of 386
Authors
643
- FT
8
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- YY
7
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7
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5
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4
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1–5 of 643
Institutions
332
Chinese Academy of Sciences
Beijing, China
11 h-index
17 publications
518 citations
Guizhou Normal University
Guiyang, China
9 h-index
16 publications
224 citations
Academy of Mathematics and Systems Science
Beijing, China
9 h-index
16 publications
443 citations
Fundación Ciencias Exactas y Naturales
Buenos Aires, Argentina
6 h-index
6 publications
310 citations
Applied Mathematics (United States)
Gales Ferry, United States
6 h-index
8 publications
468 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
10 publications
940 citations
Universidad de Buenos Aires
Buenos Aires, Argentina
5 h-index
5 publications
278 citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
1.3K citations
1–8 of 332
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- SIAM Journal on Matrix Analysis and Applications
45 publications · 2K citations
23
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- SIAM Journal on Numerical Analysis
31 publications · 1.7K citations
22
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- Mathematics of Computation
MCOM · 30 publications · 4.6K citations
22
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- Linear Algebra and its Applications
13 publications · 877 citations
13
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- Numerische Mathematik
13 publications · 482 citations
12
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