Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems
The incremental Picard Yosida (IPY) method has recently been developed as an iteration for nonlinear saddle point problems that is as effective as Picard but more efficient. By combining ideas from algebraic splitting of linear saddle point solvers with incremental Picard‐type iterations and grad‐di...
Published in: | Mathematical Methods in the Applied Sciences |
---|---|
Main Authors: | , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2023
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/am-pdf/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.9665 |
id |
crwiley:10.1002/mma.9665 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1002/mma.9665 2024-06-02T08:09:35+00:00 Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems Liu, Jia Rebholz, Leo G. Xiao, Mengying National Science Foundation 2023 http://dx.doi.org/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/am-pdf/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.9665 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#am http://onlinelibrary.wiley.com/termsAndConditions#vor Mathematical Methods in the Applied Sciences volume 47, issue 1, page 451-474 ISSN 0170-4214 1099-1476 journal-article 2023 crwiley https://doi.org/10.1002/mma.9665 2024-05-03T11:06:21Z The incremental Picard Yosida (IPY) method has recently been developed as an iteration for nonlinear saddle point problems that is as effective as Picard but more efficient. By combining ideas from algebraic splitting of linear saddle point solvers with incremental Picard‐type iterations and grad‐div stabilization, IPY improves on the standard Picard method by allowing for easier linear solves at each iteration—but without creating more total nonlinear iterations compared to Picard. This paper extends the IPY methodology by studying it together with Anderson acceleration (AA). We prove that IPY for Navier–Stokes and regularized Bingham fits the recently developed analysis framework for AA, which implies that AA improves the linear convergence rate of IPY by scaling the rate with the gain of the AA optimization problem. Numerical tests illustrate a significant improvement in convergence behavior of IPY methods from AA, for both Navier–Stokes and regularized Bingham. Article in Journal/Newspaper IPY Wiley Online Library Bingham ENVELOPE(-63.400,-63.400,-69.400,-69.400) Saddle Point ENVELOPE(73.483,73.483,-53.017,-53.017) Mathematical Methods in the Applied Sciences 47 1 451 474 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
The incremental Picard Yosida (IPY) method has recently been developed as an iteration for nonlinear saddle point problems that is as effective as Picard but more efficient. By combining ideas from algebraic splitting of linear saddle point solvers with incremental Picard‐type iterations and grad‐div stabilization, IPY improves on the standard Picard method by allowing for easier linear solves at each iteration—but without creating more total nonlinear iterations compared to Picard. This paper extends the IPY methodology by studying it together with Anderson acceleration (AA). We prove that IPY for Navier–Stokes and regularized Bingham fits the recently developed analysis framework for AA, which implies that AA improves the linear convergence rate of IPY by scaling the rate with the gain of the AA optimization problem. Numerical tests illustrate a significant improvement in convergence behavior of IPY methods from AA, for both Navier–Stokes and regularized Bingham. |
author2 |
National Science Foundation |
format |
Article in Journal/Newspaper |
author |
Liu, Jia Rebholz, Leo G. Xiao, Mengying |
spellingShingle |
Liu, Jia Rebholz, Leo G. Xiao, Mengying Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
author_facet |
Liu, Jia Rebholz, Leo G. Xiao, Mengying |
author_sort |
Liu, Jia |
title |
Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
title_short |
Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
title_full |
Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
title_fullStr |
Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
title_full_unstemmed |
Efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
title_sort |
efficient and effective algebraic splitting‐based solvers for nonlinear saddle point problems |
publisher |
Wiley |
publishDate |
2023 |
url |
http://dx.doi.org/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/am-pdf/10.1002/mma.9665 https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.9665 |
long_lat |
ENVELOPE(-63.400,-63.400,-69.400,-69.400) ENVELOPE(73.483,73.483,-53.017,-53.017) |
geographic |
Bingham Saddle Point |
geographic_facet |
Bingham Saddle Point |
genre |
IPY |
genre_facet |
IPY |
op_source |
Mathematical Methods in the Applied Sciences volume 47, issue 1, page 451-474 ISSN 0170-4214 1099-1476 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#am http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/mma.9665 |
container_title |
Mathematical Methods in the Applied Sciences |
container_volume |
47 |
container_issue |
1 |
container_start_page |
451 |
op_container_end_page |
474 |
_version_ |
1800755316714897408 |