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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
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
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