{"id":"https://openalex.org/W3207361486","doi":"https://doi.org/10.14428/esann/2021.es2021-133","title":"IF: Iterative Fractional Optimization","display_name":"IF: Iterative Fractional Optimization","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3207361486","doi":"https://doi.org/10.14428/esann/2021.es2021-133","mag":"3207361486"},"language":"en","primary_location":{"id":"doi:10.14428/esann/2021.es2021-133","is_oa":true,"landing_page_url":"http://doi.org/10.14428/esann/2021.es2021-133","pdf_url":"https://doi.org/10.14428/esann/2021.es2021-133","source":{"id":"https://openalex.org/S4306509709","display_name":"ESANN 2021 proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2021 proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.14428/esann/2021.es2021-133","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039328147","display_name":"Sarthak Chatterjee","orcid":"https://orcid.org/0000-0002-4774-9436"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarthak Chatterjee","raw_affiliation_strings":["-Department of Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute, Troy NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"-Department of Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute, Troy NY, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011183160","display_name":"Subhro Das","orcid":"https://orcid.org/0000-0002-7610-2738"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhro Das","raw_affiliation_strings":["-MIT-IBM Watson AI Lab, IBM Research, Cambridge MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"-MIT-IBM Watson AI Lab, IBM Research, Cambridge MA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040066595","display_name":"S\u00e9rgio Pequito","orcid":"https://orcid.org/0000-0002-5143-1543"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"S\u00e9rgio Pequito","raw_affiliation_strings":["-Delft Center for Systems and Control Delft University of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"-Delft Center for Systems and Control Delft University of Technology, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9983000159263611,"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/T12661","display_name":"Iterative Methods for Nonlinear Equations","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.5520902276039124},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4887261390686035},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43565744161605835},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34795981645584106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3005155920982361},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2940237522125244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5520902276039124},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4887261390686035},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43565744161605835},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34795981645584106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3005155920982361},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2940237522125244}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14428/esann/2021.es2021-133","is_oa":true,"landing_page_url":"http://doi.org/10.14428/esann/2021.es2021-133","pdf_url":"https://doi.org/10.14428/esann/2021.es2021-133","source":{"id":"https://openalex.org/S4306509709","display_name":"ESANN 2021 proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2021 proceedings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.14428/esann/2021.es2021-133","is_oa":true,"landing_page_url":"http://doi.org/10.14428/esann/2021.es2021-133","pdf_url":"https://doi.org/10.14428/esann/2021.es2021-133","source":{"id":"https://openalex.org/S4306509709","display_name":"ESANN 2021 proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2021 proceedings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1956487794","display_name":null,"funder_award_id":"CMMI 1936578","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4932385818","display_name":"Collaborative Research: Spatiotemporal Fractional Modeling of Blood-Oxygen-Level Dependent Signals","funder_award_id":"1936578","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8895664233","display_name":null,"funder_award_id":"CMMI 1936578","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207361486.pdf","grobid_xml":"https://content.openalex.org/works/W3207361486.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1569098853","https://openalex.org/W1605182429","https://openalex.org/W1977923618","https://openalex.org/W1988720110","https://openalex.org/W2075625863","https://openalex.org/W2296319761","https://openalex.org/W2798766386","https://openalex.org/W2899663614","https://openalex.org/W3141595720","https://openalex.org/W4250739957","https://openalex.org/W4301909677"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2057289358","https://openalex.org/W2412311587","https://openalex.org/W2040941802","https://openalex.org/W2084415399","https://openalex.org/W4238207569","https://openalex.org/W2027890986","https://openalex.org/W2339251345"],"abstract_inverted_index":{"Most":[0],"optimization":[1],"problems":[2],"lack":[3],"closed-form":[4],"solutions":[5],"of":[6,52],"the":[7,50,98],"argument":[8],"that":[9,87],"minimizes":[10],"a":[11,59,78],"given":[12],"function,":[13],"and":[14,92],"even":[15],"if":[16],"these":[17],"were":[18],"available":[19],"it":[20],"might":[21],"be":[22],"prohibitive":[23],"to":[24,35,45,57,66],"compute":[25],"it.":[26],"As":[27],"such,":[28],"we":[29,43,64],"rely":[30],"on":[31],"iterative":[32,61],"numerical":[33],"algorithms":[34],"find":[36],"an":[37],"approximate":[38],"solution.":[39],"In":[40],"this":[41],"paper,":[42],"propose":[44,65],"leverage":[46,67],"fractional":[47],"calculus":[48],"in":[49],"context":[51],"time":[53,73],"series":[54],"analysis":[55],"methods":[56],"devise":[58],"new":[60],"algorithm.":[62],"Specifically,":[63],"autoregressive":[68],"fractional-order":[69],"integrative":[70],"moving":[71],"average":[72],"series,":[74],"whose":[75],"coefficients":[76],"encode":[77],"proxy":[79],"for":[80,95],"local":[81],"spatial":[82],"information.":[83],"We":[84],"provide":[85],"evidence":[86],"our":[88],"algorithm":[89],"is":[90,100],"efficient":[91],"particularly":[93],"suitable":[94],"cases":[96],"where":[97],"Hessian":[99],"ill-conditioned.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}