Reduced‐cost sparsity‐exploiting algorithm for solving coupled‐cluster equations |
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Authors: | Jiri Brabec Chao Yang Evgeny Epifanovsky Anna I. Krylov Esmond Ng |
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Affiliation: | 1. Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California;2. Department of Chemistry, University of Southern California, Los Angeles, California;3. Q‐Chem Inc, California |
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Abstract: | We present an algorithm for reducing the computational work involved in coupled‐cluster (CC) calculations by sparsifying the amplitude correction within a CC amplitude update procedure. We provide a theoretical justification for this approach, which is based on the convergence theory of inexact Newton iterations. We demonstrate by numerical examples that, in the simplest case of the CCD equations, we can sparsify the amplitude correction by setting, on average, roughly 90% nonzero elements to zeros without a major effect on the convergence of the inexact Newton iterations. |
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Keywords: | coupled‐cluster methods sparsity sparse correction quasi‐Newton solvers |
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