A full approximation scheme multilevel method for nonlinear variational inequalities

Fuente: arXiv
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Auteurs principaux: Bueler, Ed, Farrell, Patrick E.
Format: Preprint
Publié: 2023
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_version_ 1866911983323840512
author Bueler, Ed
Farrell, Patrick E.
author_facet Bueler, Ed
Farrell, Patrick E.
contents We present the full approximation scheme constraint decomposition (FASCD) multilevel method for solving variational inequalities (VIs). FASCD is a common extension of both the full approximation scheme (FAS) multigrid technique for nonlinear partial differential equations, due to A.~Brandt, and the constraint decomposition (CD) method introduced by X.-C.~Tai for VIs arising in optimization. We extend the CD idea by exploiting the telescoping nature of certain function space subset decompositions arising from multilevel mesh hierarchies. When a reduced-space (active set) Newton method is applied as a smoother, with work proportional to the number of unknowns on a given mesh level, FASCD V-cycles exhibit nearly mesh-independent convergence rates, and full multigrid cycles are optimal solvers. The example problems include differential operators which are symmetric linear, nonsymmetric linear, and nonlinear, in unilateral and bilateral VI problems.
format Preprint
id arxiv_https___arxiv_org_abs_2308_06888
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A full approximation scheme multilevel method for nonlinear variational inequalities
Bueler, Ed
Farrell, Patrick E.
Numerical Analysis
65K15, 35M86, 90C33
We present the full approximation scheme constraint decomposition (FASCD) multilevel method for solving variational inequalities (VIs). FASCD is a common extension of both the full approximation scheme (FAS) multigrid technique for nonlinear partial differential equations, due to A.~Brandt, and the constraint decomposition (CD) method introduced by X.-C.~Tai for VIs arising in optimization. We extend the CD idea by exploiting the telescoping nature of certain function space subset decompositions arising from multilevel mesh hierarchies. When a reduced-space (active set) Newton method is applied as a smoother, with work proportional to the number of unknowns on a given mesh level, FASCD V-cycles exhibit nearly mesh-independent convergence rates, and full multigrid cycles are optimal solvers. The example problems include differential operators which are symmetric linear, nonsymmetric linear, and nonlinear, in unilateral and bilateral VI problems.
title A full approximation scheme multilevel method for nonlinear variational inequalities
topic Numerical Analysis
65K15, 35M86, 90C33
url https://arxiv.org/abs/2308.06888