Scalable analytic eigenvalue extraction from a parahermitian matrix
In order to extract the analytic eigenvalues from a parahermitian matrix, the computational cost of the current state-of-the-art method grows factorially with the matrix dimension. Even though the approach offers benefits such as proven convergence, it has been found impractical to operate on matric...
| Published in: | Science Talks |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772569325000167 |