Convergence of the EDIIS algorithm for nonlinear equations

Xiaojun Chen, C. T. Kelley

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)A365-A379
Number of pages15
JournalSIAM Journal on Scientific Computing
Issue number1
Publication statusPublished - 17 Jan 2019


  • Anderson acceleration
  • Nonlinear equations

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics


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