{"id":"https://openalex.org/W2766909038","doi":"https://doi.org/10.1016/j.cam.2017.10.009","title":"A double parameter scaled BFGS method for unconstrained optimization","display_name":"A double parameter scaled BFGS method for unconstrained optimization","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2766909038","doi":"https://doi.org/10.1016/j.cam.2017.10.009","mag":"2766909038"},"language":"en","primary_location":{"id":"doi:10.1016/j.cam.2017.10.009","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cam.2017.10.009","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_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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Applied Mathematics","raw_type":"journal-article"},"type":"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/A5010606032","display_name":"Neculai Andrei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114681","display_name":"National Institute for Research & Development in Informatics","ror":"https://ror.org/028rq5v79","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210114681"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Neculai Andrei","raw_affiliation_strings":["Research Institute for Informatics, Center for Advanced Modeling and Optimization, 8-10 Averescu Avenue, Bucharest 1, Romania"],"affiliations":[{"raw_affiliation_string":"Research Institute for Informatics, Center for Advanced Modeling and Optimization, 8-10 Averescu Avenue, Bucharest 1, Romania","institution_ids":["https://openalex.org/I4210114681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010606032"],"corresponding_institution_ids":["https://openalex.org/I4210114681"],"apc_list":{"value":3040,"currency":"USD","value_usd":3040},"apc_paid":null,"fwci":2.4817,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89500988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"332","issue":null,"first_page":"26","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.992900013923645,"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":0.9835000038146973,"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/broyden\u2013fletcher\u2013goldfarb\u2013shanno-algorithm","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","score":0.9785251617431641},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.8874083757400513},{"id":"https://openalex.org/keywords/quasi-newton-method","display_name":"Quasi-Newton method","score":0.7702613472938538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7697352170944214},{"id":"https://openalex.org/keywords/line-search","display_name":"Line search","score":0.534460186958313},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.521881639957428},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5093532800674438},{"id":"https://openalex.org/keywords/preconditioner","display_name":"Preconditioner","score":0.49115559458732605},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48088863492012024},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4673977494239807},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4368603825569153},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.42748844623565674},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.4170078635215759},{"id":"https://openalex.org/keywords/newtons-method","display_name":"Newton's method","score":0.24798047542572021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15888971090316772},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11390528082847595},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.10236206650733948}],"concepts":[{"id":"https://openalex.org/C132721684","wikidata":"https://www.wikidata.org/wiki/Q2877013","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","level":3,"score":0.9785251617431641},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.8874083757400513},{"id":"https://openalex.org/C114954040","wikidata":"https://www.wikidata.org/wiki/Q1476018","display_name":"Quasi-Newton method","level":4,"score":0.7702613472938538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7697352170944214},{"id":"https://openalex.org/C85522705","wikidata":"https://www.wikidata.org/wiki/Q3278015","display_name":"Line search","level":3,"score":0.534460186958313},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.521881639957428},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5093532800674438},{"id":"https://openalex.org/C167431342","wikidata":"https://www.wikidata.org/wiki/Q1754327","display_name":"Preconditioner","level":3,"score":0.49115559458732605},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48088863492012024},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4673977494239807},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4368603825569153},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.42748844623565674},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.4170078635215759},{"id":"https://openalex.org/C85189116","wikidata":"https://www.wikidata.org/wiki/Q374195","display_name":"Newton's method","level":3,"score":0.24798047542572021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15888971090316772},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11390528082847595},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.10236206650733948},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cam.2017.10.009","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cam.2017.10.009","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_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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Applied Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W63600712","https://openalex.org/W75734479","https://openalex.org/W598900864","https://openalex.org/W613054787","https://openalex.org/W1864714722","https://openalex.org/W1968553199","https://openalex.org/W1969637950","https://openalex.org/W1969791456","https://openalex.org/W1970255220","https://openalex.org/W1988849934","https://openalex.org/W1992328986","https://openalex.org/W1998749910","https://openalex.org/W2000886126","https://openalex.org/W2003809942","https://openalex.org/W2005136695","https://openalex.org/W2012960907","https://openalex.org/W2023018956","https://openalex.org/W2024524305","https://openalex.org/W2032076447","https://openalex.org/W2033947507","https://openalex.org/W2035079355","https://openalex.org/W2037114197","https://openalex.org/W2037258733","https://openalex.org/W2038210983","https://openalex.org/W2045968916","https://openalex.org/W2051247543","https://openalex.org/W2062294426","https://openalex.org/W2064851697","https://openalex.org/W2069752241","https://openalex.org/W2070747239","https://openalex.org/W2071609006","https://openalex.org/W2076605490","https://openalex.org/W2078409719","https://openalex.org/W2092087339","https://openalex.org/W2095133175","https://openalex.org/W2103111465","https://openalex.org/W2105957130","https://openalex.org/W2112820497","https://openalex.org/W2122565324","https://openalex.org/W2129616681","https://openalex.org/W2149454052","https://openalex.org/W2152009788","https://openalex.org/W2152422232","https://openalex.org/W2153532571","https://openalex.org/W2316564661","https://openalex.org/W2340930132","https://openalex.org/W2525623505","https://openalex.org/W2587634790","https://openalex.org/W2601243475","https://openalex.org/W3141890267","https://openalex.org/W3175721619","https://openalex.org/W6602591683","https://openalex.org/W6703921008","https://openalex.org/W6735884373"],"related_works":["https://openalex.org/W2026245502","https://openalex.org/W4318192194","https://openalex.org/W2070932288","https://openalex.org/W4221162014","https://openalex.org/W2937637171","https://openalex.org/W1964096161","https://openalex.org/W2572889128","https://openalex.org/W3091576739","https://openalex.org/W2892976100","https://openalex.org/W1993523241"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
