Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91237
| Title: | Convergence of the EDIIS algorithm for nonlinear equations | Authors: | Chen, XJ Kelley, CT |
Issue Date: | 2019 | Source: | SIAM journal on scientific computing, 2019, v. 41, no. 1, p. A365-A379 | Abstract: | The Energy Direct Inversion on the Iterative Subspace (EDIIS) algorithm was designed to globalize Anderson acceleration, a method for improving the performance of fixed point iteration. The motivating application is electronic structure computations. In this paper we prove a convergence result for that algorithm and illustrate the theory with a computational example. | Keywords: | Nonlinear equations Anderson acceleration EDIIS |
Publisher: | Society for Industrial and Applied Mathematics | Journal: | SIAM journal on scientific computing | ISSN: | 1064-8275 | EISSN: | 1095-7197 | DOI: | 10.1137/18M1171084 | Rights: | © 2019 Society for Industrial and Applied Mathematics Posted with permission of the publisher. The following publication Chen, X., & Kelley, C. T. (2019). Convergence of the EDIIS algorithm for nonlinear equations. SIAM Journal on Scientific Computing, 41(1), A365-A379. is available at https://dx.doi.org/10.1137/18M1171084 |
| Appears in Collections: | Journal/Magazine Article |
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| 18m1171084.pdf | 363.21 kB | Adobe PDF | View/Open |
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