{"id":"https://openalex.org/W4406612330","doi":"https://doi.org/10.1109/wsc63780.2024.10838739","title":"An Efficient Finite-Difference Approximation","display_name":"An Efficient Finite-Difference Approximation","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612330","doi":"https://doi.org/10.1109/wsc63780.2024.10838739"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028496000","display_name":"Guo Liang","orcid":"https://orcid.org/0009-0000-9015-7121"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Liang","raw_affiliation_strings":["Institute of Statistics and Big Data, Renmin University of China,Beijing,CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Big Data, Renmin University of China,Beijing,CHINA","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059077950","display_name":"Guangwu Liu","orcid":"https://orcid.org/0000-0002-5602-0540"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guangwu Liu","raw_affiliation_strings":["City University of Hong Kong,Dept. of Mgmt. Sciences,Hong Kong SAR,CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Dept. of Mgmt. Sciences,Hong Kong SAR,CHINA","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022021576","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-0898-5807"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Institute of Statistics and Big Data, Renmin University of China,Beijing,CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistics and Big Data, Renmin University of China,Beijing,CHINA","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32021202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.7972999811172485,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.7972999811172485,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/finite-difference-method","display_name":"Finite difference method","score":0.5198726654052734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47378823161125183},{"id":"https://openalex.org/keywords/finite-difference","display_name":"Finite difference","score":0.4675504267215729},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3436114192008972},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3429161310195923},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1738094687461853}],"concepts":[{"id":"https://openalex.org/C205951836","wikidata":"https://www.wikidata.org/wiki/Q1147751","display_name":"Finite difference method","level":2,"score":0.5198726654052734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47378823161125183},{"id":"https://openalex.org/C181330731","wikidata":"https://www.wikidata.org/wiki/Q2068418","display_name":"Finite difference","level":2,"score":0.4675504267215729},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3436114192008972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3429161310195923},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1738094687461853}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1874160691","display_name":"\u57fa\u4e8eMAB\u7684\u884d\u751f\u54c1\u8d44\u4ea7\u7ec4\u5408\u7684\u98ce\u9669\u5ea6\u91cf\u7814\u7a76","funder_award_id":"72101260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1531010729","https://openalex.org/W1602773783","https://openalex.org/W1990121846","https://openalex.org/W2046765929","https://openalex.org/W2114135201","https://openalex.org/W2149479912","https://openalex.org/W2963470657","https://openalex.org/W3143732753","https://openalex.org/W4253097810","https://openalex.org/W4292738145"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2330640442","https://openalex.org/W1544816068","https://openalex.org/W1975234065","https://openalex.org/W2171402820","https://openalex.org/W4251142058","https://openalex.org/W2392533133","https://openalex.org/W2617981106","https://openalex.org/W1965041963","https://openalex.org/W2007426143"],"abstract_inverted_index":{"Estimating":[0],"stochastic":[1],"gradients":[2],"is":[3,19],"pivotal":[4],"in":[5,10,34,61,100,118],"fields":[6],"like":[7],"service":[8],"systems":[9],"operations":[11],"research.":[12],"The":[13],"classical":[14],"method":[15],"for":[16],"this":[17,53,62],"estimation":[18],"the":[20,36,45,71,84,98,114,119],"finite-difference":[21,42,91],"approximation,":[22],"which":[23],"entails":[24],"generating":[25,80],"samples":[26,66,78,82],"at":[27,83],"perturbed":[28],"inputs.":[29],"Nonetheless,":[30],"practical":[31],"challenges":[32],"persist":[33],"determining":[35],"perturbation":[37,86],"and":[38,79,103],"obtaining":[39],"an":[40,89],"optimal":[41,72],"estimator":[43,99],"with":[44,113],"smallest":[46],"mean":[47],"squared":[48],"error":[49],"(MSE).":[50],"To":[51],"tackle":[52],"problem,":[54],"we":[55,96],"propose":[56],"a":[57],"double":[58],"sample-recycling":[59],"approach":[60],"paper.":[63],"Firstly,":[64],"pilot":[65,77],"are":[67],"recycled":[68],"to":[69,88],"estimate":[70],"perturbation.":[73],"Secondly,":[74],"recycling":[75],"these":[76],"new":[81],"estimated":[85],"lead":[87],"efficient":[90],"estimator.":[92],"In":[93],"numerical":[94,104],"experiments,":[95],"apply":[97],"two":[101],"examples,":[102],"results":[105],"demonstrate":[106],"its":[107],"robustness,":[108],"as":[109,111],"well":[110],"coincidence":[112],"theory":[115],"presented,":[116],"especially":[117],"case":[120],"of":[121],"small":[122],"sample":[123],"sizes.":[124]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}