{"id":"https://openalex.org/W2292312336","doi":"https://doi.org/10.1515/mcma-2015-0111","title":"Widening and clustering techniques allowing the use of monotone CFTP algorithm","display_name":"Widening and clustering techniques allowing the use of monotone CFTP algorithm","publication_year":2015,"publication_date":"2015-11-04","ids":{"openalex":"https://openalex.org/W2292312336","doi":"https://doi.org/10.1515/mcma-2015-0111","mag":"2292312336"},"language":"en","primary_location":{"id":"doi:10.1515/mcma-2015-0111","is_oa":false,"landing_page_url":"http://doi.org/10.1515/mcma-2015-0111","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-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/A5017962282","display_name":"Mohamed Yasser BOUNNITE","orcid":null},"institutions":[{"id":"https://openalex.org/I119856527","display_name":"Cadi Ayyad University","ror":"https://ror.org/04xf6nm78","country_code":"MA","type":"education","lineage":["https://openalex.org/I119856527"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Yasser Bounnite","raw_affiliation_strings":["Cadi Ayyad University, Faculty of Sciences Semlalia, B.P. 2390, Marrakesh, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cadi Ayyad University, Faculty of Sciences Semlalia, B.P. 2390, Marrakesh, Morocco","institution_ids":["https://openalex.org/I119856527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002602367","display_name":"Abdelaziz Nasroallah","orcid":"https://orcid.org/0000-0002-7530-6480"},"institutions":[{"id":"https://openalex.org/I119856527","display_name":"Cadi Ayyad University","ror":"https://ror.org/04xf6nm78","country_code":"MA","type":"education","lineage":["https://openalex.org/I119856527"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Abdelaziz Nasroallah","raw_affiliation_strings":["Cadi Ayyad University, Faculty of Sciences Semlalia, B.P. 2390, Marrakesh, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cadi Ayyad University, Faculty of Sciences Semlalia, B.P. 2390, Marrakesh, Morocco","institution_ids":["https://openalex.org/I119856527"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002602367"],"corresponding_institution_ids":["https://openalex.org/I119856527"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13728473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":"4","first_page":"301","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9598000049591064,"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"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.813179612159729},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7663620710372925},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7321510314941406},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6416943073272705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.567714273929596},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5218378901481628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5126811265945435},{"id":"https://openalex.org/keywords/sample-space","display_name":"Sample space","score":0.4689124524593353},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44713330268859863},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4256131649017334},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4195910692214966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4169315695762634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1330670714378357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12058153748512268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10869714617729187},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.058525294065475464}],"concepts":[{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.813179612159729},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7663620710372925},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7321510314941406},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6416943073272705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.567714273929596},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5218378901481628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5126811265945435},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.4689124524593353},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44713330268859863},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4256131649017334},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4195910692214966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4169315695762634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1330670714378357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12058153748512268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10869714617729187},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.058525294065475464},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/mcma-2015-0111","is_oa":false,"landing_page_url":"http://doi.org/10.1515/mcma-2015-0111","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:bpj:mcmeap:v:21:y:2015:i:4:p:301-312:n:6","is_oa":false,"landing_page_url":"https://doi.org/10.1515/mcma-2015-0111","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W3093571331","https://openalex.org/W1841898224","https://openalex.org/W4302285290","https://openalex.org/W2806680938","https://openalex.org/W2049633966","https://openalex.org/W4387473332"],"abstract_inverted_index":{"Abstract":[0],"The":[1,5],"standard":[2],"Coupling":[3],"From":[4],"Past":[6],"(CFTP)":[7],"algorithm":[8],"is":[9,25,35,44],"an":[10],"interesting":[11],"tool":[12],"to":[13,58],"sample":[14,95],"from":[15],"exact":[16],"stationary":[17],"distribution":[18],"of":[19,39,64,88,96],"a":[20,36,94],"Markov":[21,97],"chain.":[22],"But":[23],"it":[24],"very":[26],"expensive":[27],"in":[28,83],"time":[29,46],"consuming":[30,47],"for":[31,48],"large":[32],"chains.":[33,50],"There":[34],"monotone":[37,49,60],"version":[38],"CFTP,":[40],"called":[41],"MCFTP,":[42],"that":[43],"less":[45],"In":[51],"this":[52],"work,":[53],"we":[54],"propose":[55],"two":[56,71],"techniques":[57],"get":[59],"chain":[61],"allowing":[62],"use":[63],"MCFTP:":[65],"widening":[66],"technique":[67,76],"based":[68,77],"on":[69,78],"adding":[70],"fictitious":[72],"states":[73],"and":[74,86],"clustering":[75],"partitioning":[79],"the":[80],"state":[81],"space":[82],"clusters.":[84],"Usefulness":[85],"efficiency":[87],"our":[89],"approaches":[90],"are":[91],"showed":[92],"through":[93],"Chain":[98],"Monte":[99],"Carlo":[100],"simulations.":[101]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}
