Matrix Eigenvalue Problems
Matrix Eigenvalue Problems is a mathematical framework within linear algebra that specifically involves determining scalar values and corresponding vectors for which a square matrix acting on a vector yields a scaled version of that vector, distinguishing it from general matrix equations by focusing on eigenstructures inherent in linear transformations.
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Citations
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Publications per year
2017–2026
201
Parents
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The Algebraic Eigenvalue Problem
E. I., J. H. Wilkinson · Mathematics of Computation · 1966 · 5.2K citations
Advanced engineering mathematics
Choice Reviews Online · 1998 · 4.1K citations
Natural Sciences, Computational Engineering, Mathematics +17
Matrix analysis and applied linear algebra
Choice Reviews Online · 2001 · 3.4K citations
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Stanford University
Stanford, United States
23 h-index
49 publications
4.6K citations
University of California, Berkeley
Berkeley, United States
22 h-index
41 publications
4.1K citations
Technische Universität Berlin
Berlin, Germany
17 h-index
32 publications
2.5K citations
KU Leuven
Leuven, Belgium
16 h-index
50 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
29 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
27 publications
3K citations

University of Manchester
Manchester, United Kingdom
15 h-index
36 publications
1.9K citations

Peking University
Beijing, China
14 h-index
25 publications
775 citations
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147 publications · 13.8K citations
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169 publications · 8.1K citations
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47 publications · 4.5K citations
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50 publications · 2.3K citations
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MCOM · 42 publications · 13.2K citations
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