{"id":"https://openalex.org/W2051995058","doi":"https://doi.org/10.1145/1190095.1190113","title":"Matrix-geometric algorithms for stochastic fluid flows","display_name":"Matrix-geometric algorithms for stochastic fluid flows","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2051995058","doi":"https://doi.org/10.1145/1190095.1190113","mag":"2051995058"},"language":"en","primary_location":{"id":"doi:10.1145/1190095.1190113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1190095.1190113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st international conference on Performance evaluation methodolgies and tools - valuetools '06","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5005238617","display_name":"Soohan Ahn","orcid":"https://orcid.org/0000-0002-5945-0458"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soohan Ahn","raw_affiliation_strings":["The University of Seoul, Dongdaemun-gu, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Seoul, Dongdaemun-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108709612","display_name":"V. Ramaswami","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Ramaswami","raw_affiliation_strings":["AT&T Labs, Research, NJ","AT&T Laboratories---Research, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs, Research, NJ","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Laboratories---Research, NJ","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10067","display_name":"Stochastic processes and financial applications","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6556732654571533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6218140721321106},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6188614368438721},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5763359069824219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5429428219795227},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5062981843948364},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5056276321411133},{"id":"https://openalex.org/keywords/fluid-dynamics","display_name":"Fluid dynamics","score":0.48195573687553406},{"id":"https://openalex.org/keywords/transient-analysis","display_name":"Transient analysis","score":0.469157338142395},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.41663694381713867},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3605020046234131},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.340664267539978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25878140330314636},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.15983128547668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1435413956642151},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10808518528938293},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09446260333061218},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08833983540534973}],"concepts":[{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6556732654571533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218140721321106},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6188614368438721},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5763359069824219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5429428219795227},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5062981843948364},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5056276321411133},{"id":"https://openalex.org/C90278072","wikidata":"https://www.wikidata.org/wiki/Q216320","display_name":"Fluid dynamics","level":2,"score":0.48195573687553406},{"id":"https://openalex.org/C2989121073","wikidata":"https://www.wikidata.org/wiki/Q1309019","display_name":"Transient analysis","level":3,"score":0.469157338142395},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.41663694381713867},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3605020046234131},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.340664267539978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25878140330314636},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.15983128547668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1435413956642151},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10808518528938293},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09446260333061218},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08833983540534973},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1190095.1190113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1190095.1190113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st international conference on Performance evaluation methodolgies and tools - valuetools '06","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":37,"referenced_works":["https://openalex.org/W168213108","https://openalex.org/W1569509623","https://openalex.org/W1963250555","https://openalex.org/W1988914905","https://openalex.org/W1991371916","https://openalex.org/W1997739949","https://openalex.org/W2001718984","https://openalex.org/W2005171207","https://openalex.org/W2020905775","https://openalex.org/W2021805693","https://openalex.org/W2022887833","https://openalex.org/W2025657264","https://openalex.org/W2029527901","https://openalex.org/W2029664194","https://openalex.org/W2031397432","https://openalex.org/W2036870521","https://openalex.org/W2037440618","https://openalex.org/W2039542099","https://openalex.org/W2043809377","https://openalex.org/W2046240181","https://openalex.org/W2047291128","https://openalex.org/W2057269262","https://openalex.org/W2059100658","https://openalex.org/W2062573385","https://openalex.org/W2064371950","https://openalex.org/W2070689535","https://openalex.org/W2076021616","https://openalex.org/W2077126062","https://openalex.org/W2079491906","https://openalex.org/W2096512426","https://openalex.org/W2103281873","https://openalex.org/W2139290908","https://openalex.org/W2140856513","https://openalex.org/W2145929107","https://openalex.org/W2146175589","https://openalex.org/W2154602821","https://openalex.org/W2169002003"],"related_works":["https://openalex.org/W2106512568","https://openalex.org/W2159465694","https://openalex.org/W2077550944","https://openalex.org/W2758798772","https://openalex.org/W2030822348","https://openalex.org/W2001630809","https://openalex.org/W2081338125","https://openalex.org/W2537731695","https://openalex.org/W4239924455","https://openalex.org/W1964722880"],"abstract_inverted_index":{"This":[0],"paper":[1],"surveys":[2],"the":[3,18,24,51,57,60],"algorithms":[4,52],"for":[5],"steady":[6],"state":[7],"and":[8,20],"transient":[9,61],"analyses":[10],"of":[11,27,36,42,56,66],"stochastic":[12],"fluid":[13],"flow":[14],"models":[15],"developed":[16],"by":[17],"authors":[19],"conveniently":[21],"brings":[22],"together":[23],"disparate":[25],"set":[26],"results":[28],"reported":[29],"in":[30],"papers":[31],"strewn":[32],"across":[33],"a":[34],"variety":[35],"journals.":[37],"A":[38],"discussion":[39],"is":[40,47],"provided":[41],"some":[43],"additional":[44],"care":[45,55],"that":[46,59],"needed":[48],"while":[49],"implementing":[50],"to":[53],"take":[54],"fact":[58],"distributions":[62],"may":[63],"have":[64],"atoms":[65],"non-negligible":[67],"size.":[68]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}