Trilevel and Multilevel Optimization using Monotone Operator Theory
We consider rather a general class of multi-level optimization problems, where a convex objective function is to be minimized subject to constraints of optimality of nested convex optimization problems. As a special case, we consider a trilevel optimization problem, where the objective of the two lo...
Saved in:
Published in | arXiv.org |
---|---|
Main Authors | , , |
Format | Paper Journal Article |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
19.10.2023
|
Subjects | |
Online Access | Get full text |
ISSN | 2331-8422 |
DOI | 10.48550/arxiv.2105.09407 |
Cover
Abstract | We consider rather a general class of multi-level optimization problems, where a convex objective function is to be minimized subject to constraints of optimality of nested convex optimization problems. As a special case, we consider a trilevel optimization problem, where the objective of the two lower layers consists of a sum of a smooth and a non-smooth term.~Based on fixed-point theory and related arguments, we present a natural first-order algorithm and analyze its convergence and rates of convergence in several regimes of parameters. |
---|---|
AbstractList | Mathematical Methods of Operations Research, 2024 We consider rather a general class of multi-level optimization problems,
where a convex objective function is to be minimized subject to constraints of
optimality of nested convex optimization problems. As a special case, we
consider a trilevel optimization problem, where the objective of the two lower
layers consists of a sum of a smooth and a non-smooth term.~Based on
fixed-point theory and related arguments, we present a natural first-order
algorithm and analyze its convergence and rates of convergence in several
regimes of parameters. We consider rather a general class of multi-level optimization problems, where a convex objective function is to be minimized subject to constraints of optimality of nested convex optimization problems. As a special case, we consider a trilevel optimization problem, where the objective of the two lower layers consists of a sum of a smooth and a non-smooth term.~Based on fixed-point theory and related arguments, we present a natural first-order algorithm and analyze its convergence and rates of convergence in several regimes of parameters. |
Author | Marecek, Jakub Kungurtsev, Vyacheslav Shafiei, Allahkaram |
Author_xml | – sequence: 1 givenname: Allahkaram surname: Shafiei fullname: Shafiei, Allahkaram – sequence: 2 givenname: Vyacheslav surname: Kungurtsev fullname: Kungurtsev, Vyacheslav – sequence: 3 givenname: Jakub surname: Marecek fullname: Marecek, Jakub |
BackLink | https://doi.org/10.1007/s00186-024-00852-5$$DView published paper (Access to full text may be restricted) https://doi.org/10.48550/arXiv.2105.09407$$DView paper in arXiv |
BookMark | eNotj8FOwzAQRC0EEqX0AzgRiXOCvc4mzhFVUJBa9ZJ75DgOuErt4DgV5esJbQ-j1WhGu_vuyLV1VhPywGiSCkT6LP2POSTAKCa0SGl-RWbAOYtFCnBLFsOwo5RClgMin5Fl6U2nD7qLpG2izdiFi932wezNrwzG2WgcjP2MNs66MF2bMu1lcD4qv7Tzx3ty08pu0IvLnJPy7bVcvsfr7epj-bKOJYKIFQKqVMgCNEfBQAJj2FKRMdoiy9uCaVUXNVdtJuocG43FJGwE8FrVUvE5eTyvPRFWvTd76Y_VP2l1Ip0aT-dG7933qIdQ7dzo7fRTBcgpgMBc8D-kz1hY |
ContentType | Paper Journal Article |
Copyright | 2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://arxiv.org/licenses/nonexclusive-distrib/1.0 |
Copyright_xml | – notice: 2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: http://arxiv.org/licenses/nonexclusive-distrib/1.0 |
DBID | 8FE 8FG ABJCF ABUWG AFKRA AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS AKY AKZ GOX |
DOI | 10.48550/arxiv.2105.09407 |
DatabaseName | ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection (subscription) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea SciTech Premium Collection ProQuest Engineering Collection Engineering Database (subscription) ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection arXiv Computer Science arXiv Mathematics arXiv.org |
DatabaseTitle | Publicly Available Content Database Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) Engineering Collection |
DatabaseTitleList | Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: GOX name: arXiv.org url: http://arxiv.org/find sourceTypes: Open Access Repository – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
EISSN | 2331-8422 |
ExternalDocumentID | 2105_09407 |
Genre | Working Paper/Pre-Print |
GroupedDBID | 8FE 8FG ABJCF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BENPR BGLVJ CCPQU DWQXO FRJ HCIFZ L6V M7S M~E PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS AKY AKZ GOX |
ID | FETCH-LOGICAL-a528-c525c48a92e35812a2115f08610f517f91ecb9b3cf68b75de59de55d823bcbac3 |
IEDL.DBID | 8FG |
IngestDate | Wed Jul 23 00:22:49 EDT 2025 Mon Jun 30 09:13:42 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-a528-c525c48a92e35812a2115f08610f517f91ecb9b3cf68b75de59de55d823bcbac3 |
Notes | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 |
OpenAccessLink | https://www.proquest.com/docview/2530228578?pq-origsite=%requestingapplication% |
PQID | 2530228578 |
PQPubID | 2050157 |
ParticipantIDs | arxiv_primary_2105_09407 proquest_journals_2530228578 |
PublicationCentury | 2000 |
PublicationDate | 20231019 |
PublicationDateYYYYMMDD | 2023-10-19 |
PublicationDate_xml | – month: 10 year: 2023 text: 20231019 day: 19 |
PublicationDecade | 2020 |
PublicationPlace | Ithaca |
PublicationPlace_xml | – name: Ithaca |
PublicationTitle | arXiv.org |
PublicationYear | 2023 |
Publisher | Cornell University Library, arXiv.org |
Publisher_xml | – name: Cornell University Library, arXiv.org |
SSID | ssj0002672553 |
Score | 1.8525447 |
SecondaryResourceType | preprint |
Snippet | We consider rather a general class of multi-level optimization problems, where a convex objective function is to be minimized subject to constraints of... Mathematical Methods of Operations Research, 2024 We consider rather a general class of multi-level optimization problems, where a convex objective function is... |
SourceID | arxiv proquest |
SourceType | Open Access Repository Aggregation Database |
SubjectTerms | Computational geometry Computer Science - Artificial Intelligence Convergence Convexity First order algorithms Fixed points (mathematics) Mathematics - Optimization and Control Optimization |
SummonAdditionalLinks | – databaseName: arXiv.org dbid: GOX link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV1NSwMxEB1qT15EUWm1Sg5eo5uk2U2OUqxF0F5W6G3Jpwhapa3Fn-8ku8WDeMhhs1mWvGSSGZL3BuDKMO5FGQW1wjk6dppRZaqKll4UyjHLXExs5MencvY8fljIRQ_IjgtjVt-v21Yf2K5vMB6R10nhrdpLXMU0a-_ni_ZwMktxde1_26GPmav-LK15v5gewkHn6JHbdmSOoBeWxzCpV2iF2_BGMIAnmfzaPs7Rct87SiRJd9FfCFrbR1LKxnchn4WTlkd_AvX0rp7MaJfGgBrJFXWSSzdWRvOQtMa4wZBLRowkWBElq6JmwVmNUMVS2Ur6IDUW6RUX1lnjxCn0l_i3AZAiMm-00ugVoCPBEFhdFF546bUTpYlDGOTON5-tUkWTcGkyLkMY7fBoulm6bnhKGcQVGu3Z_1-ew35KsZ7Wa6ZH0N-svsIFbsQbe5lH4wfCJ4i_ priority: 102 providerName: Cornell University |
Title | Trilevel and Multilevel Optimization using Monotone Operator Theory |
URI | https://www.proquest.com/docview/2530228578 https://arxiv.org/abs/2105.09407 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR1LS8MwOOiK4M0nm87Rg9dsTbK0yUlw7IGwBzJht5ImqQi6zW4OT_52v6SdHgQPLSQ5lH7PfG-EbhWhhsU5wxnTGne1JFioJMGxYZHQJCM6d9XI40k8euo-LPiicrhtqrTKvUz0gtqstPORd6gbb0MFENjd-h27qVEuulqN0DhEAaFASa5SfDD88bHQOIEbMyuDmb51V0cVny-7Ntg5vO06x4FSCvzWH1Hs9cvgBAUztbbFKTqwyzN05NMy9eYc9eYFcO3OvoZg8Ie-WLZcToHT36oSytDlrj-HwJ0r11kbzqyPnYdl3f0Fmg_6894IV2MPsOJUYM0p112hJLWuNxlVYKLxHCwPEuWcJLkkVmcSQJvHIku4sVzCw42gLNOZ0uwS1ZbwtToKo5wYJYWEWwRcPAggQkaRYYYbqVms8gaq-59P12Vni9TBJfVwaaDmHh5pRdWb9BcHV_8fX6NjN5bdyXgim6i2LT7sDSjvbdbyGGqh4L4_mT3CajhdwHv81f8GDB2dPg |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV07T8MwED6VVgg2nuJRIAOMgdiuk3iokCitWloKQkViixzbQUhQSlsK_Dj-G2cnhQGJjSFDYsmRz-d7-O67AziUhGoWZsxPmVJ-TQnixzKK_FCzIFYkJSqzaOTLfti-rV3c8bsSfM6xMDatci4TnaDWz8rekZ9Q296Gxshgp6MX33aNstHVeQsNWbRW0HVXYqwAdnTNxxu6cJN65xz3-4jSVnPQaPtFlwFfchr7ilOuarEU1NhSYFSiR8QzNPRJkHESZYIYlQpcSRbGacS14QIfrmPKUpVKxXDaBaig1cHwUFXOmv3rm-9LHhpGaLKzPJrqaoedyPH7w-wYHS1-bEvXoVasuE-_dIFTcK0VqFzLkRmvQskM12DR5YWqyTo0BmMUGzPz6Mmh9hxaN3-9QlHzVGA4PZs8f--heHi2pb1xzLjgvZcD_zdg8B8U2YTyEP-2BV6QES1FLNCMQcuHICeIINBMcy0UC2W2DVtu8ckoL62RWLokji7bUJ3TIymO1ST5YYKdv4cPYKk9uOwlvU6_uwvLtke8VThEVKE8Hb-aPbQkpul-sV8eJP_MIV8LAdwm |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Trilevel+and+Multilevel+Optimization+using+Monotone+Operator+Theory&rft.jtitle=arXiv.org&rft.au=Shafiei%2C+Allahkaram&rft.au=Kungurtsev%2C+Vyacheslav&rft.au=Marecek%2C+Jakub&rft.date=2023-10-19&rft.pub=Cornell+University+Library%2C+arXiv.org&rft.eissn=2331-8422&rft_id=info:doi/10.48550%2Farxiv.2105.09407 |