{"id":"https://openalex.org/W4407951058","doi":"https://doi.org/10.1109/cdc56724.2024.10886306","title":"Solving the Convex Flow Problem","display_name":"Solving the Convex Flow Problem","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407951058","doi":"https://doi.org/10.1109/cdc56724.2024.10886306"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090116188","display_name":"Theo Diamandis","orcid":"https://orcid.org/0000-0003-0657-5959"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theo Diamandis","raw_affiliation_strings":["Massachusetts Insttitue of Technology,Computer Science and Artificial Intelligence Lab,Cambrigde,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Insttitue of Technology,Computer Science and Artificial Intelligence Lab,Cambrigde,MA,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027565638","display_name":"Guillermo Angeris","orcid":"https://orcid.org/0000-0002-4950-3990"},"institutions":[{"id":"https://openalex.org/I139787848","display_name":"Capital University","ror":"https://ror.org/00jy9e726","country_code":"US","type":"education","lineage":["https://openalex.org/I139787848"]},{"id":"https://openalex.org/I899382313","display_name":"Bainbridge State College","ror":"https://ror.org/00yk34w18","country_code":"US","type":"education","lineage":["https://openalex.org/I899382313"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guillermo Angeris","raw_affiliation_strings":["Bain Capital,Boston,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bain Capital,Boston,MA,USA","institution_ids":["https://openalex.org/I899382313","https://openalex.org/I139787848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30907613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3936","last_page":"3941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.5419999957084656,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.5419999957084656,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.5052000284194946,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5446247458457947},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.489137202501297},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4760277569293976},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.46380355954170227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25398099422454834},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07560238242149353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5446247458457947},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.489137202501297},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4760277569293976},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.46380355954170227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25398099422454834},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07560238242149353}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1918816242","https://openalex.org/W1969549583","https://openalex.org/W2000359198","https://openalex.org/W2001728872","https://openalex.org/W2005126631","https://openalex.org/W2151568819","https://openalex.org/W3036238959","https://openalex.org/W3209928754","https://openalex.org/W4211250771","https://openalex.org/W4239519089","https://openalex.org/W4249667877","https://openalex.org/W4250589301","https://openalex.org/W4292691059","https://openalex.org/W4301014524","https://openalex.org/W4379162539","https://openalex.org/W6721480755"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,20],"this":[1,21,81,96],"paper,":[2],"we":[3,23,45],"introduce":[4],"the":[5,9,16,33,40,53,86,99,125],"solver":[6],"ConvexFlows":[7],"for":[8,48,79],"convex":[10],"flow":[11,114,128],"problem":[12,82],"first":[13],"defined":[14],"in":[15,69,98],"authors\u2019":[17],"previous":[18],"work.":[19],"problem,":[22],"aim":[24],"to":[25,110],"optimize":[26],"a":[27,36,49],"concave":[28,50],"utility":[29],"function":[30],"depending":[31],"on":[32],"flows":[34,43,57],"over":[35,85],"graph.":[37],"However,":[38],"unlike":[39],"classic":[41],"network":[42,71],"literature,":[44],"also":[46],"allow":[47],"relationship":[51],"between":[52],"input":[54],"and":[55],"output":[56],"of":[58,95,123],"edges.":[59,88],"This":[60,105],"nonlinear":[61],"gain":[62],"describes":[63],"many":[64],"physical":[65],"phenomena,":[66],"including":[67],"losses":[68],"power":[70,127],"transmission":[72],"lines.":[73],"We":[74,89,116],"outline":[75],"an":[76,91,108,121],"efficient":[77],"algorithm":[78,97],"solving":[80,124],"which":[83],"parallelizes":[84],"graph":[87],"provide":[90],"open":[92],"source":[93],"implementation":[94],"Julia":[100],"programming":[101],"language":[102],"package":[103,106],"Convexflows.jl.":[104],"includes":[107],"interface":[109],"easily":[111],"specify":[112],"these":[113],"problems.":[115],"conclude":[117],"by":[118],"walking":[119],"through":[120],"example":[122],"optimal":[126],"using":[129],"ConvexFlows.":[130]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
