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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Embree, Mark Lehoucq, Richard B. |
| Copyright Year | 2009 |
| Abstract | Simple preconditioned iterations can provide an efficient alternative to more elaborate eigenvalue algorithms. We observe that these simple methods can be viewed as forward Euler discretizations of well-known autonomous differential equations that enjoy appealing geometric properties. This connection facilitates novel results describing convergence of a class of preconditioned eigensolvers to the leftmost eigenvalue, provides insight into the role of orthogonality and biorthogonality, and suggests the development of new methods and analyses based on more sophisticated discretizations. These results also highlight the effect of preconditioning on the convergence and stability of the continuous-time system and its discretization. |
| Starting Page | 1445 |
| Ending Page | 1473 |
| Page Count | 29 |
| File Format | |
| ISSN | 00361429 |
| DOI | 10.1137/07070187X |
| e-ISSN | 10957170 |
| Issue Number | 2 |
| Volume Number | 47 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2009-03-13 |
| Access Restriction | Subscribed |
| Subject Keyword | Stability and convergence of numerical methods Eigenvalues, singular values, and eigenvectors dynamical systems eigenvalues Eigenvalues, eigenvectors geometric invariants Vector fields, flows, ordinary differential equations inverse iteration preconditioned eigensolvers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Numerical Analysis Computational Mathematics |
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