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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Vierendeels, Jan Van Heule, Dirk Haelterman, Rob Degroote, Joris |
| Copyright Year | 2010 |
| Abstract | We show how one of the best-known Krylov subspace methods, the generalized minimal residual method (GMRes), can be interpreted as a quasi-Newton method and how the quasi-Newton inverse least squares method (QN-ILS) relates to Krylov subspace methods in general and to GMRes in particular when applied to linear systems. We also show that we can modify QN-ILS in order to make it analytically equivalent to GMRes, without the need for extra matrix-vector products. |
| Starting Page | 4660 |
| Ending Page | 4679 |
| Page Count | 20 |
| File Format | |
| ISSN | 00361429 |
| DOI | 10.1137/090750354 |
| e-ISSN | 10957170 |
| Issue Number | 6 |
| Volume Number | 47 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2010-02-19 |
| Access Restriction | Subscribed |
| Subject Keyword | Methods of quasi-Newton type Iterative methods for linear systems least squares quasi-Newton method rank-one update iterative method generalized minimal residual method linear algebra secant method Derivative-free methods and methods using generalized derivatives |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Numerical Analysis Computational Mathematics |
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