Augmented Lagrangian method for coupled-cluster

Fuente: arXiv
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Autori principali: Faulstich, Fabian M., Khoo, Yuehaw, Li, Kangbo
Natura: Preprint
Pubblicazione: 2024
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author Faulstich, Fabian M.
Khoo, Yuehaw
Li, Kangbo
author_facet Faulstich, Fabian M.
Khoo, Yuehaw
Li, Kangbo
contents We propose to improve the convergence properties of the single-reference coupled cluster (CC) method through an augmented Lagrangian formalism. The conventional CC method changes a linear high-dimensional eigenvalue problem with exponential size into a problem of determining the roots of a nonlinear system of equations that has a manageable size. However, current numerical procedures for solving this system of equations to get the lowest eigenvalue suffer from two practical issues: First, solving the CC equations may not converge, and second, when converging, they may converge to other -- potentially unphysical -- states, which are stationary points of the CC energy expression. We show that both issues can be dealt with when a suitably defined energy is minimized in addition to solving the original CC equations. We further propose an augmented Lagrangian method for coupled cluster (alm-CC) to solve the resulting constrained optimization problem. We numerically investigate the proposed augmented Lagrangian formulation showing that the convergence towards the ground state is significantly more stable and that the optimization procedure is less susceptible to local minima. Furthermore, the computational cost of alm-CC is comparable to the conventional CC method.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16381
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Augmented Lagrangian method for coupled-cluster
Faulstich, Fabian M.
Khoo, Yuehaw
Li, Kangbo
Computational Physics
Numerical Analysis
Optimization and Control
We propose to improve the convergence properties of the single-reference coupled cluster (CC) method through an augmented Lagrangian formalism. The conventional CC method changes a linear high-dimensional eigenvalue problem with exponential size into a problem of determining the roots of a nonlinear system of equations that has a manageable size. However, current numerical procedures for solving this system of equations to get the lowest eigenvalue suffer from two practical issues: First, solving the CC equations may not converge, and second, when converging, they may converge to other -- potentially unphysical -- states, which are stationary points of the CC energy expression. We show that both issues can be dealt with when a suitably defined energy is minimized in addition to solving the original CC equations. We further propose an augmented Lagrangian method for coupled cluster (alm-CC) to solve the resulting constrained optimization problem. We numerically investigate the proposed augmented Lagrangian formulation showing that the convergence towards the ground state is significantly more stable and that the optimization procedure is less susceptible to local minima. Furthermore, the computational cost of alm-CC is comparable to the conventional CC method.
title Augmented Lagrangian method for coupled-cluster
topic Computational Physics
Numerical Analysis
Optimization and Control
url https://arxiv.org/abs/2403.16381