乐胖代购免代理版

{"id":"https://openalex.org/W4391264734","doi":"https://doi.org/10.1016/j.cam.2024.115794","title":"Sparse polynomial chaos expansion for universal stochastic kriging","display_name":"Sparse polynomial chaos expansion for universal stochastic kriging","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4391264734","doi":"https://doi.org/10.1016/j.cam.2024.115794"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cam.2024.115794","pdf_url":null,"source":{"id":"https://openalex.org/S165473669","display_name":"Journal of Computational and Applied Mathematics","issn_l":"0377-0427","issn":["0377-0427","1879-1778"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cam.2024.115794","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000914211","display_name":"J.C. Garc\u00eda-Merino","orcid":"https://orcid.org/0000-0002-9326-0578"},"institutions":[{"id":"https://openalex.org/I4210158850","display_name":"Complejo Hospitalario de C\u00e1ceres","ror":"https://ror.org/01mhgyv56","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210158850"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J.C. Garc\u00eda-Merino","raw_affiliation_strings":["Department of Mathematics, School of Technology, 10003, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Technology, 10003, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I4210158850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053846735","display_name":"C. Calvo-Jurado","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158850","display_name":"Complejo Hospitalario de C\u00e1ceres","ror":"https://ror.org/01mhgyv56","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210158850"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Calvo-Jurado","raw_affiliation_strings":["Department of Mathematics, School of Technology, 10003, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Technology, 10003, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I4210158850"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007661181","display_name":"E. Garc\u00eda-Mac\u00edas","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"funder","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E. Garc\u00eda-Mac\u00edas","raw_affiliation_strings":["Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000914211"],"corresponding_institution_ids":["https://openalex.org/I4210158850"],"apc_list":{"value":3040,"currency":"USD","value_usd":3040},"apc_paid":{"value":3040,"currency":"USD","value_usd":3040},"fwci":2.344,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.775655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"444","issue":null,"first_page":"115794","last_page":"115794"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polynomial-chaos","display_name":"Polynomial Chaos","score":0.9252736},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty Quantification","score":0.635254},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.60616726}],"concepts":[{"id":"https://openalex.org/C197656079","wikidata":"https://www.wikidata.org/wiki/Q17147719","display_name":"Polynomial chaos","level":3,"score":0.9252736},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.635254},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.62068427},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.60616726},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.57493883},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5381893},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5267144},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4829218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4812767},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.43726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43575823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19032043},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.18020245},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cam.2024.115794","pdf_url":null,"source":{"id":"https://openalex.org/S165473669","display_name":"Journal of Computational and Applied Mathematics","issn_l":"0377-0427","issn":["0377-0427","1879-1778"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.10936","pdf_url":"http://arxiv.org/pdf/2402.10936","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/92138","pdf_url":"https://digibug.ugr.es/bitstream/10481/92138/1/1-s2.0-S0377042724000438-main.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":["Universidad de Granada"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2402.10936","pdf_url":"https://arxiv.org/pdf/2402.10936","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cam.2024.115794","pdf_url":null,"source":{"id":"https://openalex.org/S165473669","display_name":"Journal of Computational and Applied Mathematics","issn_l":"0377-0427","issn":["0377-0427","1879-1778"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.77}],"grants":[{"funder":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","award_id":null},{"funder":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":40,"referenced_works":["https://openalex.org/W1707125689","https://openalex.org/W1956520347","https://openalex.org/W1971811063","https://openalex.org/W1982539084","https://openalex.org/W1991327572","https://openalex.org/W2018159038","https://openalex.org/W2033422863","https://openalex.org/W2043170151","https://openalex.org/W2045355467","https://openalex.org/W2055896476","https://openalex.org/W2063978378","https://openalex.org/W2094493383","https://openalex.org/W2100851059","https://openalex.org/W2135046866","https://openalex.org/W2275354951","https://openalex.org/W2513195558","https://openalex.org/W2528302069","https://openalex.org/W2553755808","https://openalex.org/W2593505765","https://openalex.org/W2599820605","https://openalex.org/W2734733109","https://openalex.org/W2768868668","https://openalex.org/W2789948796","https://openalex.org/W2809706751","https://openalex.org/W2884974611","https://openalex.org/W2963889731","https://openalex.org/W3015706362","https://openalex.org/W3082154183","https://openalex.org/W3091290410","https://openalex.org/W3104110477","https://openalex.org/W3122455945","https://openalex.org/W3186520003","https://openalex.org/W3191109278","https://openalex.org/W4200385151","https://openalex.org/W4205734066","https://openalex.org/W4285676788","https://openalex.org/W4292541628","https://openalex.org/W4294215953","https://openalex.org/W4301959443","https://openalex.org/W4310673922"],"related_works":["https://openalex.org/W4381941132","https://openalex.org/W3215394929","https://openalex.org/W3014573403","https://openalex.org/W2931365531","https://openalex.org/W2517755966","https://openalex.org/W2169974588","https://openalex.org/W2114881872","https://openalex.org/W2108001913","https://openalex.org/W2084593435","https://openalex.org/W1984584655"],"abstract_inverted_index":{"Surrogate":[0],"modelling":[1],"techniques":[2],"have":[3],"opened":[4],"up":[5],"new":[6],"possibilities":[7],"to":[8,98,120,167],"overcome":[9],"the":[10,33,70,78,92,95,104,110,112,123,128,136,159,163,168,177],"limitations":[11],"of":[12,20,35,45,94,109,135,145,162,179,189],"computationally":[13],"intensive":[14],"numerical":[15,154],"models":[16],"in":[17,27,81,127],"various":[18],"areas":[19],"engineering":[21,29],"and":[22,31,65,86,90,106,133,148,156,182],"science.":[23],"However,":[24],"while":[25],"fundamental":[26],"many":[28],"applications":[30],"decision-making,":[32],"incorporation":[34],"uncertainty":[36,100,184],"quantification":[37],"into":[38],"meta-models":[39],"remains":[40],"a":[41,54,142,186],"challenging":[42],"open":[43],"area":[44],"research.":[46],"To":[47,102],"address":[48],"this":[49,51],"issue,":[50],"paper":[52],"presents":[53],"novel":[55],"stochastic":[56,96],"simulation":[57],"approach":[58,72,138,165],"combining":[59],"sparse":[60,75],"polynomial":[61,125],"chaos":[62],"expansion":[63],"(PCE)":[64],"Stochastic":[66],"Kriging":[67],"(SK).":[68],"Specifically,":[69],"proposed":[71,137,164],"adopts":[73],"adaptive":[74],"PCE":[76],"as":[77],"trend":[79],"model":[80],"SK,":[82],"achieving":[83],"both":[84,180],"global":[85],"local":[87],"prediction":[88],"capabilities":[89],"maximizing":[91],"role":[93],"term":[97],"conduct":[99],"quantification.":[101],"maximize":[103],"generalization":[105],"computational":[107,131],"efficiency":[108],"meta-model,":[111],"Least":[113],"Angle":[114],"Regression":[115],"(LAR)":[116],"algorithm":[117],"is":[118],"adopted":[119],"automatically":[121],"select":[122],"optimal":[124],"basis":[126],"PCE.":[129],"The":[130,152],"effectiveness":[132],"accuracy":[134],"are":[139],"appraised":[140],"through":[141],"comprehensive":[143],"set":[144],"case":[146],"studies":[147],"different":[149],"quality":[150],"metrics.":[151],"presented":[153],"results":[155],"discussion":[157],"demonstrate":[158],"superior":[160],"performance":[161],"compared":[166],"classical":[169],"ordinary":[170],"SK":[171],"model,":[172],"offering":[173],"high":[174],"flexibility":[175],"for":[176,185],"characterization":[178],"extrinsic":[181],"intrinsic":[183],"wide":[187],"variety":[188],"problems.":[190]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391264734","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-03-26T10:39:38.451812","created_date":"2024-01-27"}