{"id":"https://openalex.org/W4399906218","doi":"https://doi.org/10.1515/mcma-2024-2007","title":"Another hybrid conjugate gradient method as a convex combination of WYL and CD methods","display_name":"Another hybrid conjugate gradient method as a convex combination of WYL and CD methods","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4399906218","doi":"https://doi.org/10.1515/mcma-2024-2007"},"language":"en","primary_location":{"id":"doi:10.1515/mcma-2024-2007","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1515/mcma-2024-2007","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","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/A5099347623","display_name":"Imane Guefassa","orcid":null},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Imane Guefassa","raw_affiliation_strings":["Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria","institution_ids":["https://openalex.org/I1288970718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030312867","display_name":"Yacine Chaib","orcid":null},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Yacine Chaib","raw_affiliation_strings":["Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria","institution_ids":["https://openalex.org/I1288970718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010659056","display_name":"Tahar Bechouat","orcid":"https://orcid.org/0000-0001-5660-0361"},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Tahar Bechouat","raw_affiliation_strings":["Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory Informatics and Mathematics (LIM) , Mohamed Cherif Messaadia University , Souk Ahras , Algeria","institution_ids":["https://openalex.org/I1288970718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099347623"],"corresponding_institution_ids":["https://openalex.org/I1288970718"],"apc_list":null,"apc_paid":null,"fwci":0.6738,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63035264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":"3","first_page":"225","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10545","display_name":"Optimization and Variational Analysis","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.8050131797790527},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5610529780387878},{"id":"https://openalex.org/keywords/line-search","display_name":"Line search","score":0.5596855878829956},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.538196861743927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5369285345077515},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4415377974510193},{"id":"https://openalex.org/keywords/nonlinear-conjugate-gradient-method","display_name":"Nonlinear conjugate gradient method","score":0.4367210566997528},{"id":"https://openalex.org/keywords/conjugate","display_name":"Conjugate","score":0.42966026067733765},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.41680315136909485},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3849489688873291},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35842040181159973},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32992640137672424},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1994655728340149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.12585929036140442},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10586825013160706}],"concepts":[{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.8050131797790527},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5610529780387878},{"id":"https://openalex.org/C85522705","wikidata":"https://www.wikidata.org/wiki/Q3278015","display_name":"Line search","level":3,"score":0.5596855878829956},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.538196861743927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5369285345077515},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4415377974510193},{"id":"https://openalex.org/C26362088","wikidata":"https://www.wikidata.org/wiki/Q17086453","display_name":"Nonlinear conjugate gradient method","level":4,"score":0.4367210566997528},{"id":"https://openalex.org/C197336794","wikidata":"https://www.wikidata.org/wiki/Q5161150","display_name":"Conjugate","level":2,"score":0.42966026067733765},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.41680315136909485},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3849489688873291},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35842040181159973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32992640137672424},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1994655728340149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.12585929036140442},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10586825013160706},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/mcma-2024-2007","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1515/mcma-2024-2007","pdf_url":null,"source":{"id":"https://openalex.org/S142132501","display_name":"Monte Carlo Methods and Applications","issn_l":"0929-9629","issn":["0929-9629","1569-3961"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Monte Carlo Methods and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:bpj:mcmeap:v:30:y:2024:i:3:p:225-234:n:1002","is_oa":false,"landing_page_url":"https://doi.org/10.1515/mcma-2024-2007","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W150175414","https://openalex.org/W1034108409","https://openalex.org/W1565013069","https://openalex.org/W1968553199","https://openalex.org/W1979347641","https://openalex.org/W1981912021","https://openalex.org/W1997678483","https://openalex.org/W2012231377","https://openalex.org/W2014851363","https://openalex.org/W2032668178","https://openalex.org/W2048413673","https://openalex.org/W2053799091","https://openalex.org/W2062481521","https://openalex.org/W2066743741","https://openalex.org/W2085437773","https://openalex.org/W2086108341","https://openalex.org/W2091549324","https://openalex.org/W2101678447","https://openalex.org/W2108560279","https://openalex.org/W2118020555","https://openalex.org/W2130092997","https://openalex.org/W2149454052","https://openalex.org/W2316564661","https://openalex.org/W4240472590","https://openalex.org/W4300306934"],"related_works":["https://openalex.org/W2356977358","https://openalex.org/W2183734858","https://openalex.org/W2381924799","https://openalex.org/W4319027779","https://openalex.org/W3107945686","https://openalex.org/W2349115186","https://openalex.org/W2962081168","https://openalex.org/W2384571804","https://openalex.org/W2358808671","https://openalex.org/W2358414513"],"abstract_inverted_index":{"Abstract":[0],"Conjugate":[1],"gradient":[2,29],"(CG)":[3,30],"methods":[4,11],"are":[5],"a":[6,25,53,124],"popular":[7],"class":[8],"of":[9,16,56,103,123],"iterative":[10],"for":[12,36],"solving":[13,37],"linear":[14],"systems":[15],"equations":[17],"and":[18,34,66,91],"nonlinear":[19],"optimization":[20,39],"problems.":[21],"In":[22],"this":[23],"paper,":[24],"new":[26,84],"hybrid":[27],"conjugate":[28],"method":[31,85,105],"is":[32,52],"presented":[33],"analyzed":[35],"unconstrained":[38],"problems,":[40],"where":[41],"the":[42,78,83,87,92,101,113,121],"parameter":[43],"<m:math":[44,57,67],"xmlns:m=\"http://www.w3.org/1998/Math/MathML\">":[45,58,68],"<m:msub>":[46],"<m:mi>\u03b2</m:mi>":[47,60,70],"<m:mi>k</m:mi>":[48,61,71],"</m:msub>":[49],"</m:math>":[50,64,74],"\\beta_{k}":[51],"convex":[54],"combination":[55],"<m:msubsup>":[59,69],"<m:mi>WYL</m:mi>":[62],"</m:msubsup>":[63,73],"\\beta_{k}^{\\mathrm{WYL}}":[65],"<m:mi>CD</m:mi>":[72],"\\beta_{k}^{\\mathrm{CD}}":[75],".":[76],"Under":[77],"strong":[79],"Wolfe":[80],"line":[81],"search,":[82],"possesses":[86],"sufficient":[88],"descent":[89],"condition":[90],"global":[93],"convergence":[94],"properties.":[95],"The":[96],"preliminary":[97],"numerical":[98],"results":[99],"show":[100],"efficiency":[102],"our":[104],"in":[106],"comparison":[107],"with":[108],"other":[109],"CG":[110],"methods.":[111],"Furthermore,":[112],"proposed":[114],"algorithm":[115],"HWYLCD":[116],"was":[117],"extended":[118],"to":[119],"solve":[120],"problem":[122],"mode":[125],"function.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
