{"id":"https://openalex.org/W7123357776","doi":"https://doi.org/10.1109/cdc57313.2025.11313030","title":"Exploiting Multistage Optimization Structure in Proximal Solvers","display_name":"Exploiting Multistage Optimization Structure in Proximal Solvers","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123357776","doi":"https://doi.org/10.1109/cdc57313.2025.11313030"},"language":"en","primary_location":{"id":"doi:10.1109/cdc57313.2025.11313030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11313030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/258053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007610499","display_name":"Roland Schwan","orcid":"https://orcid.org/0000-0002-2807-4891"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["CH","US"],"is_corresponding":true,"raw_author_name":"Roland Schwan","raw_affiliation_strings":["EPFL,Risk Analytics and Optimization Chair,Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL,Risk Analytics and Optimization Chair,Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I4210108719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065780980","display_name":"Daniel K\u00fchn","orcid":"https://orcid.org/0000-0003-2697-8886"},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Daniel Kuhn","raw_affiliation_strings":["EPFL,Risk Analytics and Optimization Chair,Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL,Risk Analytics and Optimization Chair,Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I4210108719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085117832","display_name":"Colin N. Jones","orcid":"https://orcid.org/0000-0001-7239-4799"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Colin N. Jones","raw_affiliation_strings":["EPFL,Automatic Control Lab,Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL,Automatic Control Lab,Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007610499"],"corresponding_institution_ids":["https://openalex.org/I4210108719","https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65184621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4677","last_page":"4683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.47360000014305115,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.47360000014305115,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.35429999232292175,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.03840000182390213,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.8871999979019165},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.6599000096321106},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43290001153945923},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.3937999904155731},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.383899986743927},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35120001435279846},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3296000063419342}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.8871999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627999782562256},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.6599000096321106},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5008000135421753},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.383899986743927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3824999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc57313.2025.11313030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11313030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/258053","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/258053","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/258053","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/258053","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5348512530326843}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"structure-exploiting":[5],"algorithm":[6,38],"for":[7,112],"multistage":[8],"optimization":[9,124],"problems.":[10,125],"The":[11,37,68,107],"proposed":[12],"method":[13],"extends":[14],"existing":[15,78],"approaches":[16],"by":[17],"supporting":[18],"full":[19],"coupling":[20],"between":[21],"stages":[22],"and":[23,34,49,74,97,122],"global":[24],"decision":[25],"variables":[26],"in":[27,45],"the":[28,46,63,99,102],"cost,":[29],"as":[30,32,41,115],"well":[31],"equality":[33],"inequality":[35],"constraints.":[36],"is":[39,109],"implemented":[40],"a":[42,51,57,93],"new":[43],"backend":[44,96],"PIQP":[47],"solver":[48,105,108],"leverages":[50],"specialized":[52,104],"block-tri-diagonal-arrow":[53],"Cholesky":[54],"factorization":[55],"within":[56],"proximal":[58],"interior-point":[59],"framework":[60],"to":[61,88,92],"handle":[62],"underlying":[64],"problem":[65],"structure":[66,72],"efficiently.":[67],"implementation":[69],"features":[70],"automatic":[71],"detection":[73],"seamless":[75],"integration":[76],"with":[77],"interfaces.":[79],"Numerical":[80],"experiments":[81],"demonstrate":[82],"significant":[83],"performance":[84,100],"improvements,":[85],"achieving":[86],"up":[87],"13x":[89],"speed-up":[90],"compared":[91],"generic":[94],"sparse":[95],"matching/exceeding":[98],"of":[101],"state-of-the-art":[103],"HPIPM.":[106],"particularly":[110],"effective":[111],"applications":[113],"such":[114],"model":[116],"predictive":[117],"control,":[118],"robust":[119],"scenario":[120],"optimization,":[121],"periodic":[123]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}