{"id":"https://openalex.org/W4413393672","doi":"https://doi.org/10.23919/acc63710.2025.11107986","title":"pycvxset: A Python package for convex set manipulation","display_name":"pycvxset: A Python package for convex set manipulation","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413393672","doi":"https://doi.org/10.23919/acc63710.2025.11107986"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107986","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","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/A5050718717","display_name":"Abraham P. Vinod","orcid":"https://orcid.org/0000-0002-7955-9629"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abraham P. Vinod","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02139"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA,02139","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050718717"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":8.5798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97438034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2515","last_page":"2521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9487000107765198,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9487000107765198,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9305999875068665,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9264000058174133,"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/python","display_name":"Python (programming language)","score":0.8079193830490112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354173421859741},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4923306703567505},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.449648916721344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20822909474372864},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06076860427856445}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8079193830490112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354173421859741},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4923306703567505},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.449648916721344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20822909474372864},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06076860427856445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107986","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1880805667","https://openalex.org/W2006557476","https://openalex.org/W2095233962","https://openalex.org/W2221524898","https://openalex.org/W2300621294","https://openalex.org/W2749680651","https://openalex.org/W3086849158","https://openalex.org/W3107034996","https://openalex.org/W3135991946","https://openalex.org/W4210715379","https://openalex.org/W4250589301","https://openalex.org/W4293243623","https://openalex.org/W4407880226","https://openalex.org/W4407949918"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W2207495067","https://openalex.org/W1906486629"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"pycvxset,":[3],"a":[4,25],"new":[5],"Python":[6],"package":[7],"to":[8,23,70,82],"manipulate":[9],"and":[10,17,19,79,94,112],"visualize":[11],"convex":[12,73],"sets.":[13],"We":[14,86],"support":[15],"polytopes":[16],"ellipsoids,":[18],"provide":[20],"user-friendly":[21],"methods":[22],"perform":[24,83],"variety":[26],"of":[27,48,90],"set":[28,65,77],"operations.":[29,66],"For":[30],"polytopes,":[31],"pycvxset":[32,67,91,100],"supports":[33],"the":[34,41,88,106],"standard":[35,53],"halfspace/vertex":[36],"representation":[37],"as":[38,40],"well":[39],"constrained":[42,49,58],"zonotope":[43,50],"representation.":[44],"The":[45],"main":[46],"advantage":[47],"representations":[51,55],"over":[52],"halfs-pace/vertex":[54],"is":[56,101],"that":[57],"zonotopes":[59],"admit":[60],"closed-form":[61],"expressions":[62],"for":[63],"several":[64],"uses":[68,80],"CVXPY":[69],"solve":[71],"various":[72],"programs":[74],"arising":[75],"in":[76,92,98],"operations,":[78],"pycddlib":[81],"vertex-halfspace":[84],"enumeration.":[85],"demonstrate":[87],"use":[89],"analyzing":[93],"controlling":[95],"dynamical":[96],"systems":[97],"Python.":[99],"available":[102],"at":[103],"https://github.com/merlresearch/pycvxset":[104],"under":[105],"AGPL-3.0-or-later":[107],"license,":[108],"along":[109],"with":[110],"documentation":[111],"examples.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}