{"id":"https://openalex.org/W2110281697","doi":"https://doi.org/10.1007/978-3-642-36065-7_18","title":"Smoothed Analysis of Belief Propagation for Minimum-Cost Flow and Matching","display_name":"Smoothed Analysis of Belief Propagation for Minimum-Cost Flow and Matching","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2110281697","doi":"https://doi.org/10.1007/978-3-642-36065-7_18","mag":"2110281697"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-36065-7_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-36065-7_18","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5082676353","display_name":"Tobias Brunsch","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Brunsch","raw_affiliation_strings":["University of Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012357439","display_name":"Kamiel Cornelissen","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kamiel Cornelissen","raw_affiliation_strings":["University of Twente, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Twente, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002315999","display_name":"Bodo Manthey","orcid":"https://orcid.org/0000-0001-6278-5059"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bodo Manthey","raw_affiliation_strings":["University of Twente, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Twente, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034122679","display_name":"Heiko R\u00f6glin","orcid":"https://orcid.org/0009-0006-8438-3986"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko R\u00f6glin","raw_affiliation_strings":["University of Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082676353"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6792,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72702482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9937999844551086,"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/T11106","display_name":"Data Management and Algorithms","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/belief-propagation","display_name":"Belief propagation","score":0.8687782287597656},{"id":"https://openalex.org/keywords/maximum-flow-problem","display_name":"Maximum flow problem","score":0.5762662887573242},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5657355189323425},{"id":"https://openalex.org/keywords/lemma","display_name":"Lemma (botany)","score":0.5397887825965881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5387194752693176},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5154224634170532},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5008618831634521},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4845494329929352},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47516247630119324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.434021532535553},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43264830112457275},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42612147331237793},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4013587236404419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3586612343788147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19468000531196594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09716588258743286},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07555598020553589}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.8687782287597656},{"id":"https://openalex.org/C157469704","wikidata":"https://www.wikidata.org/wiki/Q2585642","display_name":"Maximum flow problem","level":2,"score":0.5762662887573242},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5657355189323425},{"id":"https://openalex.org/C2777759810","wikidata":"https://www.wikidata.org/wiki/Q149316","display_name":"Lemma (botany)","level":3,"score":0.5397887825965881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5387194752693176},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5154224634170532},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5008618831634521},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4845494329929352},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47516247630119324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.434021532535553},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43264830112457275},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42612147331237793},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4013587236404419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3586612343788147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19468000531196594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09716588258743286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07555598020553589},{"id":"https://openalex.org/C46757340","wikidata":"https://www.wikidata.org/wiki/Q43238","display_name":"Poaceae","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-642-36065-7_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-36065-7_18","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/117c9495-8864-4af2-afa2-cf6b97c395ca","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/117c9495-8864-4af2-afa2-cf6b97c395ca","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brunsch, T, Cornelissen, K, Manthey, B & R\u00f6glin, H 2013, Smoothed analysis of belief propagation for minimum-cost flow and matching. in S Kumar Ghosh & T Tokuyama (eds), Proceedings of the 7th International Workshop on Algorithms and Computation (WALCOM 2013). Lecture Notes in Computer Science, vol. 7748, Springer, Berlin, Germany, pp. 182-193. https://doi.org/10.1007/978-3-642-36065-7_18","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/117c9495-8864-4af2-afa2-cf6b97c395ca","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"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":"","raw_type":""},{"id":"pmh:oai:ris.utwente.nl:publications/4eeea238-156c-44c4-aa6d-ef15990ce7bf","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/4eeea238-156c-44c4-aa6d-ef15990ce7bf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"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":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1498489820","https://openalex.org/W1500353311","https://openalex.org/W1761820742","https://openalex.org/W1964402547","https://openalex.org/W1977545325","https://openalex.org/W1982562599","https://openalex.org/W2019599312","https://openalex.org/W2028815884","https://openalex.org/W2034053794","https://openalex.org/W2100034662","https://openalex.org/W2117038364","https://openalex.org/W2141499077","https://openalex.org/W2144476828","https://openalex.org/W2159080219","https://openalex.org/W2167985929","https://openalex.org/W2169282664","https://openalex.org/W2170959740","https://openalex.org/W2170987079","https://openalex.org/W3020913839","https://openalex.org/W3022308742","https://openalex.org/W3098384852","https://openalex.org/W3098497574","https://openalex.org/W3103301362","https://openalex.org/W3103376245","https://openalex.org/W3106189858"],"related_works":["https://openalex.org/W959529772","https://openalex.org/W4297812452","https://openalex.org/W4388627352","https://openalex.org/W4368755698","https://openalex.org/W2606077302","https://openalex.org/W2140575283","https://openalex.org/W4286382505","https://openalex.org/W3180766726","https://openalex.org/W3183113072","https://openalex.org/W2126934800"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}