Literature DB >> 33363108

Solving Coupled Cluster Equations by the Newton Krylov Method.

Chao Yang1, Jiri Brabec2, Libor Veis2, David B Williams-Young1, Karol Kowalski3.   

Abstract

We describe using the Newton Krylov method to solve the coupled cluster equation. The method uses a Krylov iterative method to compute the Newton correction to the approximate coupled cluster amplitude. The multiplication of the Jacobian with a vector, which is required in each step of a Krylov iterative method such as the Generalized Minimum Residual (GMRES) method, is carried out through a finite difference approximation, and requires an additional residual evaluation. The overall cost of the method is determined by the sum of the inner Krylov and outer Newton iterations. We discuss the termination criterion used for the inner iteration and show how to apply pre-conditioners to accelerate convergence. We will also examine the use of regularization technique to improve the stability of convergence and compare the method with the widely used direct inversion of iterative subspace (DIIS) methods through numerical examples.
Copyright © 2020 Yang, Brabec, Veis, Williams-Young and Kowalski.

Entities:  

Keywords:  DIIS; Newton-Krylov method; couple cluster approximation; nonlinear solver; precondition

Year:  2020        PMID: 33363108      PMCID: PMC7758425          DOI: 10.3389/fchem.2020.590184

Source DB:  PubMed          Journal:  Front Chem        ISSN: 2296-2646            Impact factor:   5.221


  6 in total

1.  Krylov subspace accelerated inexact Newton method for linear and nonlinear equations.

Authors:  Robert J Harrison
Journal:  J Comput Chem       Date:  2004-02       Impact factor: 3.376

2.  Multireference nature of chemistry: the coupled-cluster view.

Authors:  Dmitry I Lyakh; Monika Musiał; Victor F Lotrich; Rodney J Bartlett
Journal:  Chem Rev       Date:  2011-12-28       Impact factor: 60.622

3.  Discarding Information from Previous Iterations in an Optimal Way To Solve the Coupled Cluster Amplitude Equations.

Authors:  Patrick Ettenhuber; Poul Jørgensen
Journal:  J Chem Theory Comput       Date:  2015-04-14       Impact factor: 6.006

4.  Coupled-cluster method tailored by configuration interaction.

Authors:  Tomoko Kinoshita; Osamu Hino; Rodney J Bartlett
Journal:  J Chem Phys       Date:  2005-08-15       Impact factor: 3.488

5.  Accelerated multimodel Newton-type algorithms for faster convergence of ground and excited state coupled cluster equations.

Authors:  Eirik F Kjønstad; Sarai D Folkestad; Henrik Koch
Journal:  J Chem Phys       Date:  2020-07-07       Impact factor: 3.488

6.  Toward the efficient local tailored coupled cluster approximation and the peculiar case of oxo-Mn(Salen).

Authors:  Andrej Antalík; Libor Veis; Jiří Brabec; Ondřej Demel; Örs Legeza; Jiří Pittner
Journal:  J Chem Phys       Date:  2019-08-28       Impact factor: 3.488

  6 in total

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