{"id":"https://openalex.org/W7135076416","doi":"https://doi.org/10.1515/itit-2025-0032","title":"A novel minimization method for\u00a0sentential decision diagrams","display_name":"A novel minimization method for\u00a0sentential decision diagrams","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W7135076416","doi":"https://doi.org/10.1515/itit-2025-0032"},"language":"en","primary_location":{"id":"doi:10.1515/itit-2025-0032","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2025-0032","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/itit-2025-0032/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyterbrill.com/document/doi/10.1515/itit-2025-0032/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028289976","display_name":"J. D. Clark","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Clark","raw_affiliation_strings":["University of Tennessee, Electrical Engineering and Computer Science , Knoxville , TN , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee, Electrical Engineering and Computer Science , Knoxville , TN , USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091267392","display_name":"Himanshu Thapliyal","orcid":"https://orcid.org/0000-0001-9157-4517"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himanshu Thapliyal","raw_affiliation_strings":["Southern Methodist University, Electrical and Computer Engineering & Computer Science , Dallas , TX , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Electrical and Computer Engineering & Computer Science , Dallas , TX , USA","institution_ids":["https://openalex.org/I178169726"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82846401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":"2-3","first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.19290000200271606,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.19290000200271606,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.17229999601840973,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0430000014603138,"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/binary-decision-diagram","display_name":"Binary decision diagram","score":0.8912000060081482},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.746399998664856},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6854000091552734},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6796000003814697},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.571399986743927},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.555899977684021},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5358999967575073},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.521399974822998}],"concepts":[{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.8912000060081482},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.746399998664856},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6854000091552734},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6796000003814697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291999816894531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5821999907493591},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5358999967575073},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.521399974822998},{"id":"https://openalex.org/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.4260999858379364},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C81409106","wikidata":"https://www.wikidata.org/wiki/Q76505","display_name":"Combinational logic","level":3,"score":0.33500000834465027},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3206000030040741},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30000001192092896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27889999747276306},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/itit-2025-0032","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2025-0032","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/itit-2025-0032/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1515/itit-2025-0032","is_oa":true,"landing_page_url":"https://doi.org/10.1515/itit-2025-0032","pdf_url":"https://www.degruyterbrill.com/document/doi/10.1515/itit-2025-0032/pdf","source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7001781463623047,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8306724599","display_name":null,"funder_award_id":"1938092","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7135076416.pdf","grobid_xml":"https://content.openalex.org/works/W7135076416.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W207890491","https://openalex.org/W1944291514","https://openalex.org/W2272508587","https://openalex.org/W2951699500","https://openalex.org/W4250447890"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Sentential":[1],"Decision":[2,10],"Diagrams":[3,11],"(SDDs)":[4],"are":[5,27,76],"a":[6,31,69],"generalization":[7],"of":[8,19,34,49,74,84,110,122],"Binary":[9],"(BDDs)":[12],"that":[13],"allow":[14],"decisions":[15],"based":[16,29,63],"on":[17,30,64],"\u201csentences\u201d":[18],"variables,":[20],"rather":[21],"than":[22],"only":[23],"individual":[24],"variables.":[25],"SDDs":[26],"ordered":[28],"binary":[32],"tree":[33],"variables":[35],"(a":[36],"vtree)":[37],"which":[38,75],"can":[39],"represent":[40],"their":[41],"more":[42],"complex":[43],"structure.":[44],"Like":[45],"BDDs,":[46],"the":[47,82,90,94,111,130,139],"order":[48],"an":[50,118],"SDD":[51,60,126],"significantly":[52],"impacts":[53],"its":[54],"size.":[55],"We":[56],"present":[57],"two":[58,108],"novel":[59],"minimization":[61,78],"methods":[62,116],"Rudell\u2019s":[65],"sifting":[66,71],"algorithm":[67],"and":[68,98,107],"symmetric":[70],"algorithm,":[72],"both":[73],"BDD":[77],"methods.":[79],"To":[80],"evaluate":[81],"performance":[83],"our":[85,104],"proposed":[86,105],"techniques,":[87],"we":[88],"compile":[89],"combinational":[91],"benchmarks":[92],"from":[93],"LGSynth\u201991":[95],"benchmark":[96],"set":[97],"dynamically":[99],"minimize":[100],"each":[101],"circuit":[102],"with":[103,129],"techniques":[106],"variations":[109],"current":[112,131],"state-of-the-art":[113,132],"method.":[114],"Our":[115],"show":[117],"average":[119],"improvement":[120,140],"ratio":[121,141],"20.2":[123],"%":[124],"in":[125],"size":[127],"compared":[128],"technique.":[133],"For":[134],"larger":[135],"circuits":[136],"(\u226550":[137],"inputs),":[138],"increases":[142],"to":[143],"39.2":[144],"%.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-13T00:00:00"}