{"id":"https://openalex.org/W2897413842","doi":"https://doi.org/10.1007/s10107-022-01775-x","title":"Nonlinear acceleration of momentum and primal-dual algorithms","display_name":"Nonlinear acceleration of momentum and primal-dual algorithms","publication_year":2022,"publication_date":"2022-02-09","ids":{"openalex":"https://openalex.org/W2897413842","doi":"https://doi.org/10.1007/s10107-022-01775-x","mag":"2897413842"},"language":"en","primary_location":{"id":"doi:10.1007/s10107-022-01775-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10107-022-01775-x","pdf_url":null,"source":{"id":"https://openalex.org/S193920097","display_name":"Mathematical Programming","issn_l":"0025-5610","issn":["0025-5610","1436-4646"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Programming","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.04539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083156016","display_name":"Raghu Bollapragada","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raghu Bollapragada","raw_affiliation_strings":["Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX, USA","Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, USA","Northwestern University [Evanston]"],"raw_orcid":"https://orcid.org/0000-0001-5692-0832","affiliations":[{"raw_affiliation_string":"Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Northwestern University [Evanston]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076766458","display_name":"Damien Scieur","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I153555950","display_name":"SAIT Polytechnic","ror":"https://ror.org/01m4gt983","country_code":"CA","type":"education","lineage":["https://openalex.org/I153555950"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["CA","FR"],"is_corresponding":false,"raw_author_name":"Damien Scieur","raw_affiliation_strings":["INRIA & D.I., UMR 8548, \u00c9cole Normale Sup\u00e9rieure, Paris, France","SAIT AI Lab, Montreal, Canada","Statistical Machine Learning and Parsimony"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA & D.I., UMR 8548, \u00c9cole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"SAIT AI Lab, Montreal, Canada","institution_ids":["https://openalex.org/I153555950"]},{"raw_affiliation_string":"Statistical Machine Learning and Parsimony","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063516752","display_name":"Alexandre d\u2019Aspremont","orcid":"https://orcid.org/0000-0003-3851-216X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I4210103330","display_name":"\u00c9cole Normale Sup\u00e9rieure","ror":"https://ror.org/01dp7jr64","country_code":"BI","type":"education","lineage":["https://openalex.org/I4210103330"]}],"countries":["BI","FR"],"is_corresponding":false,"raw_author_name":"Alexandre d\u2019Aspremont","raw_affiliation_strings":["CNRS & D.I., UMR 8548, \u00c9cole Normale Sup\u00e9rieure, Paris, France","Laboratoire d'informatique de l'\u00e9cole normale sup\u00e9rieure","Statistical Machine Learning and Parsimony","Centre National de la Recherche Scientifique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS & D.I., UMR 8548, \u00c9cole Normale Sup\u00e9rieure, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire d'informatique de l'\u00e9cole normale sup\u00e9rieure","institution_ids":["https://openalex.org/I4210103330"]},{"raw_affiliation_string":"Statistical Machine Learning and Parsimony","institution_ids":[]},{"raw_affiliation_string":"Centre National de la Recherche Scientifique","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083156016"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.2815,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.73352927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"198","issue":"1","first_page":"325","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.7762873768806458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.737525463104248},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7265366315841675},{"id":"https://openalex.org/keywords/numerical-analysis","display_name":"Numerical analysis","score":0.541456937789917},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5277139544487},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.5120882987976074},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5018692016601562},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49874448776245117},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.49703195691108704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49049490690231323},{"id":"https://openalex.org/keywords/interior-point-method","display_name":"Interior point method","score":0.4662401080131531},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4271829426288605},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40663254261016846},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2398640215396881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19357118010520935}],"concepts":[{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.7762873768806458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.737525463104248},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7265366315841675},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.541456937789917},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5277139544487},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.5120882987976074},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5018692016601562},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49874448776245117},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.49703195691108704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49049490690231323},{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.4662401080131531},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4271829426288605},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40663254261016846},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2398640215396881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19357118010520935},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10107-022-01775-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10107-022-01775-x","pdf_url":null,"source":{"id":"https://openalex.org/S193920097","display_name":"Mathematical Programming","issn_l":"0025-5610","issn":["0025-5610","1436-4646"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Programming","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1810.04539","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.04539","pdf_url":"https://arxiv.org/pdf/1810.04539","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01893921v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01893921","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematical Programming, Series A, 2022, pp.1-38. ⟨10.1007/s10107-022-01775-x⟩","raw_type":"Journal articles"},{"id":"doi:10.48550/arxiv.1810.04539","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.04539","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.04539","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.04539","pdf_url":"https://arxiv.org/pdf/1810.04539","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3558118270","display_name":null,"funder_award_id":"DE-FG02-87ER25047","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G5838787665","display_name":"PaRis Artificial Intelligence Research InstitutE","funder_award_id":"ANR-19-P3IA-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6304884138","display_name":null,"funder_award_id":"650-4736000-60049398","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W134988115","https://openalex.org/W1859634276","https://openalex.org/W1964328797","https://openalex.org/W1966199711","https://openalex.org/W1966801132","https://openalex.org/W1972161707","https://openalex.org/W1976990135","https://openalex.org/W1980177911","https://openalex.org/W1985453997","https://openalex.org/W2005916081","https://openalex.org/W2009941369","https://openalex.org/W2019527847","https://openalex.org/W2019667159","https://openalex.org/W2020081642","https://openalex.org/W2021525163","https://openalex.org/W2038281434","https://openalex.org/W2046511598","https://openalex.org/W2065176245","https://openalex.org/W2083676493","https://openalex.org/W2086161653","https://openalex.org/W2092663520","https://openalex.org/W2140153041","https://openalex.org/W2328100681","https://openalex.org/W2405803404","https://openalex.org/W2435546957","https://openalex.org/W2548626409","https://openalex.org/W2587100636","https://openalex.org/W2605652624","https://openalex.org/W2643255885","https://openalex.org/W2759180371","https://openalex.org/W2797302609","https://openalex.org/W2903821133","https://openalex.org/W2907949935","https://openalex.org/W2936995161","https://openalex.org/W3013359803","https://openalex.org/W3104141139","https://openalex.org/W3141595720","https://openalex.org/W4289083316","https://openalex.org/W4294446395","https://openalex.org/W6610372834","https://openalex.org/W6611531288","https://openalex.org/W6636350391","https://openalex.org/W6638380949"],"related_works":["https://openalex.org/W1823078487","https://openalex.org/W1758063681","https://openalex.org/W2095983929","https://openalex.org/W2498799440","https://openalex.org/W2473609169","https://openalex.org/W2034177488","https://openalex.org/W2153851007","https://openalex.org/W1536532856","https://openalex.org/W1548681518","https://openalex.org/W2329573185"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2022-08-02T00:00:00"}