乐胖代购免代理版

{"id":"https://openalex.org/W2024366558","doi":"https://doi.org/10.1137/100814688","title":"Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression","display_name":"Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2024366558","doi":"https://doi.org/10.1137/100814688","mag":"2024366558"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1137/100814688","pdf_url":null,"source":{"id":"https://openalex.org/S928796702","display_name":"SIAM Journal on Optimization","issn_l":"1052-6234","issn":["1052-6234","1095-7189"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5026811780","display_name":"Stephen C. Billups","orcid":"https://orcid.org/0000-0003-3627-0793"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen C. Billups","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033895985","display_name":"Jeffrey Larson","orcid":"https://orcid.org/0000-0001-9924-2082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeffrey Larson","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5008431584","display_name":"Peter Gr\u00e4f","orcid":"https://orcid.org/0000-0003-3150-3404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Graf","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.676,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":41,"citation_normalized_percentile":{"value":0.99949,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"23","issue":"1","first_page":"27","last_page":"53"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9984,"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/T12661","display_name":"Iterative Methods for Nonlinear Equations","score":0.9977,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/interpolation","display_name":"Interpolation","score":0.5564177},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4870663},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.41649854}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.73303884},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5813321},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5564177},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5488789},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.48867324},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4870663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4676366},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.45127314},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4315208},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4303547},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.42724293},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4250309},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41883737},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.41649854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2632286},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.25700134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2326248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1818631},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1137/100814688","pdf_url":null,"source":{"id":"https://openalex.org/S928796702","display_name":"SIAM Journal on Optimization","issn_l":"1052-6234","issn":["1052-6234","1095-7189"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.77,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W181733065","https://openalex.org/W1966878414","https://openalex.org/W1995832922","https://openalex.org/W2041461390","https://openalex.org/W2044778841","https://openalex.org/W2046914952","https://openalex.org/W2052143039","https://openalex.org/W2057830724","https://openalex.org/W2077278144","https://openalex.org/W2085137170","https://openalex.org/W2092070658","https://openalex.org/W2092718229","https://openalex.org/W2113741278","https://openalex.org/W2149454052","https://openalex.org/W2157236298","https://openalex.org/W2158590920","https://openalex.org/W2163913714","https://openalex.org/W2167511885","https://openalex.org/W2171074980","https://openalex.org/W3022909171"],"related_works":["https://openalex.org/W4313549135","https://openalex.org/W4255827355","https://openalex.org/W4225727896","https://openalex.org/W3168922754","https://openalex.org/W3118299338","https://openalex.org/W267133670","https://openalex.org/W2352045387","https://openalex.org/W2246139959","https://openalex.org/W1572494532","https://openalex.org/W1519288722"],"abstract_inverted_index":{"We":[0,85,98],"propose":[1],"a":[2,110],"derivative-free":[3],"algorithm":[4,14],"for":[5],"optimizing":[6],"computationally":[7],"expensive":[8],"functions":[9,54,126,128],"with":[10,129],"computational":[11,100],"error.":[12],"The":[13],"is":[15,64],"based":[16],"on":[17,109,124],"the":[18,88],"trust":[19,57],"region":[20,58],"regression":[21,48,107,116,122],"method":[22],"by":[23,81],"Conn,":[24,30],"Scheinberg,":[25,32],"and":[26,33,77,92,105,121,127],"Vicente":[27],"[A.":[28],"R.":[29],"K.":[31],"L.":[34],"N.":[35],"Vicente,":[36],"IMA":[37],"J.":[38],"Numer.":[39],"Anal.,":[40],"28":[41],"(2008),":[42],"pp.":[43],"721--748]":[44],"but":[45],"uses":[46],"weighted":[47,96,106],"to":[49,95,118],"obtain":[50],"more":[51],"accurate":[52],"model":[53,83],"at":[55],"each":[56],"iteration.":[59],"A":[60],"heuristic":[61],"weighting":[62],"scheme":[63],"proposed":[65],"that":[66],"simultaneously":[67],"handles":[68],"(i)":[69],"differing":[70],"levels":[71],"of":[72,90,112],"uncertainty":[73],"in":[74],"function":[75],"evaluations":[76],"(ii)":[78],"errors":[79],"induced":[80],"poor":[82],"fidelity.":[84],"also":[86],"extend":[87],"theory":[89],"$\\Lambda$-poisedness":[91,94],"strong":[93],"regression.":[97],"report":[99],"results":[101],"comparing":[102],"interpolation,":[103],"regression,":[104],"methods":[108],"collection":[111],"benchmark":[113],"problems.":[114],"Weighted":[115],"appears":[117],"outperform":[119],"interpolation":[120],"models":[123],"nondifferentiable":[125],"deterministic":[130],"noise.":[131]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2024366558","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2024-12-12T22:38:26.108249","created_date":"2016-06-24"}