Adaptive Eigenvalue Algorithms
Adaptive Eigenvalue Algorithms is a class of iterative numerical methods for solving eigenvalue problems that dynamically adjust computational parameters or subspaces based on intermediate estimates to improve convergence rates and accuracy.
91
Publications
3.6K
Citations
188
Authors
109
Institutions
Publications per year
2017–2026
8
Parents
91
Guaranteed lower bounds for eigenvalues
Carsten Carstensen, Joscha Gedicke · Mathematics of Computation · 2014 · 105 citations · Full text
1–5 of 91
188
5
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 188
109

Guizhou Normal University
Guiyang, China
6 h-index
12 publications
204 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
472 citations
Motorola (United States)
Schaumburg, United States
2 h-index
2 publications
46 citations

Jiangsu Normal University
Xuzhou, China
2 h-index
2 publications
26 citations

Washington University in St. Louis
St Louis, United States
2 h-index
2 publications
64 citations
Academy of Mathematics and Systems Science
Beijing, China
2 h-index
4 publications
384 citations
KU Leuven
Leuven, Belgium
2 h-index
3 publications
44 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
48 citations
1–8 of 109
8 publications · 459 citations
8
h-index
6 publications · 293 citations
6
h-index
Repository · 4 publications · 106 citations
4
h-index
3 publications · 39 citations
3
h-index
3 publications · 130 citations
3
h-index
1–5