Efficient preconditioners for solving dynamical optimal transport via interior point methods

Fuente: arXiv
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Autori principali: Facca, Enrico, Todeschi, Gabriele, Natale, Andrea, Benzi, Michele
Natura: Preprint
Pubblicazione: 2022
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author Facca, Enrico
Todeschi, Gabriele
Natale, Andrea
Benzi, Michele
author_facet Facca, Enrico
Todeschi, Gabriele
Natale, Andrea
Benzi, Michele
contents In this paper we address the numerical solution of the quadratic optimal transport problem in its dynamical form, the so-called Benamou-Brenier formulation. When solved using interior point methods, the main computational bottleneck is the solution of large saddle point linear systems arising from the associated Newton-Raphson scheme. The main purpose of this paper is to design efficient preconditioners to solve these linear systems via iterative methods. Among the proposed preconditioners, we introduce one based on the partial commutation of the operators that compose the dual Schur complement of these saddle point linear systems, which we refer as $\boldsymbol{B}\boldsymbol{B}$-preconditioner. A series of numerical tests show that the $\boldsymbol{B}\boldsymbol{B}$-preconditioner is the most efficient among those presented, despite a performance deterioration in the last steps of the interior point method. It is in fact the only one having a CPU-time that scales only slightly worse than linearly with respect to the number of unknowns used to discretize the problem.
format Preprint
id arxiv_https___arxiv_org_abs_2209_00315
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Efficient preconditioners for solving dynamical optimal transport via interior point methods
Facca, Enrico
Todeschi, Gabriele
Natale, Andrea
Benzi, Michele
Numerical Analysis
Optimization and Control
35Q93, 49M41, 65K10, 65F08, 65F50
In this paper we address the numerical solution of the quadratic optimal transport problem in its dynamical form, the so-called Benamou-Brenier formulation. When solved using interior point methods, the main computational bottleneck is the solution of large saddle point linear systems arising from the associated Newton-Raphson scheme. The main purpose of this paper is to design efficient preconditioners to solve these linear systems via iterative methods. Among the proposed preconditioners, we introduce one based on the partial commutation of the operators that compose the dual Schur complement of these saddle point linear systems, which we refer as $\boldsymbol{B}\boldsymbol{B}$-preconditioner. A series of numerical tests show that the $\boldsymbol{B}\boldsymbol{B}$-preconditioner is the most efficient among those presented, despite a performance deterioration in the last steps of the interior point method. It is in fact the only one having a CPU-time that scales only slightly worse than linearly with respect to the number of unknowns used to discretize the problem.
title Efficient preconditioners for solving dynamical optimal transport via interior point methods
topic Numerical Analysis
Optimization and Control
35Q93, 49M41, 65K10, 65F08, 65F50
url https://arxiv.org/abs/2209.00315