Inexact inner-outer Golub-Kahan bidiagonalization method: A relaxation strategy

Fuente: arXiv
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Main Authors: Darrigrand, Vincent, Dumitrasc, Andrei, Kruse, Carola, Ruede, Ulrich
Format: Preprint
Published: 2022
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author Darrigrand, Vincent
Dumitrasc, Andrei
Kruse, Carola
Ruede, Ulrich
author_facet Darrigrand, Vincent
Dumitrasc, Andrei
Kruse, Carola
Ruede, Ulrich
contents We study an inexact inner-outer generalized Golub-Kahan algorithm for the solution of saddle-point problems with a two-times-two block structure. In each outer iteration, an inner system has to be solved which in theory has to be done exactly. Whenever the system is getting large, an inner exact solver is, however, no longer efficient or even feasible and iterative methods must be used. We focus this article on a numerical study showing the influence of the accuracy of an inner iterative solution on the accuracy of the solution of the block system. Emphasis is further given on reducing the computational cost, which is defined as the total number of inner iterations. We develop relaxation techniques intended to dynamically change the inner tolerance for each outer iteration to further minimize the total number of inner iterations. We illustrate our findings on a Stokes problem and validate them on a mixed formulation of the Poisson problem.
format Preprint
id arxiv_https___arxiv_org_abs_2208_01079
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Inexact inner-outer Golub-Kahan bidiagonalization method: A relaxation strategy
Darrigrand, Vincent
Dumitrasc, Andrei
Kruse, Carola
Ruede, Ulrich
Numerical Analysis
65F10, 65F50, 65N22
We study an inexact inner-outer generalized Golub-Kahan algorithm for the solution of saddle-point problems with a two-times-two block structure. In each outer iteration, an inner system has to be solved which in theory has to be done exactly. Whenever the system is getting large, an inner exact solver is, however, no longer efficient or even feasible and iterative methods must be used. We focus this article on a numerical study showing the influence of the accuracy of an inner iterative solution on the accuracy of the solution of the block system. Emphasis is further given on reducing the computational cost, which is defined as the total number of inner iterations. We develop relaxation techniques intended to dynamically change the inner tolerance for each outer iteration to further minimize the total number of inner iterations. We illustrate our findings on a Stokes problem and validate them on a mixed formulation of the Poisson problem.
title Inexact inner-outer Golub-Kahan bidiagonalization method: A relaxation strategy
topic Numerical Analysis
65F10, 65F50, 65N22
url https://arxiv.org/abs/2208.01079