{"id":"https://openalex.org/W2359536144","doi":null,"title":"New Method for Solving Matrix Eigenvalues and Eigenvectors","display_name":"New Method for Solving Matrix Eigenvalues and Eigenvectors","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2359536144","mag":"2359536144"},"language":"en","primary_location":{"id":"mag:2359536144","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJC200811031.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764825856","display_name":"Jisuanji gongcheng","issn_l":"1000-3428","issn":["1000-3428"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","poland-20"],"host_organization":"https://openalex.org/P4361727472","host_organization_name":"East China Computer Technology Research Institute","host_organization_lineage":["https://openalex.org/P4361727472"],"host_organization_lineage_names":["East China Computer Technology Research Institute"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5031740523","display_name":"Yongquan Zhou","orcid":"https://orcid.org/0000-0003-4404-952X","observed_orcids":["https://orcid.org/0000-0003-4404-952X"]},"institutions":[{"id":"https://openalex.org/I167274908","display_name":"Guangxi Minzu University","ror":"https://ror.org/0495efn48","country_code":"CN","type":"education","lineage":["https://openalex.org/I167274908"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongquan Zhou","raw_affiliation_strings":["College of Math and Computer Science,Guangxi University for Nationalities,Nanning 530006)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Math and Computer Science,Guangxi University for Nationalities,Nanning 530006)","institution_ids":["https://openalex.org/I167274908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031740523"],"corresponding_institution_ids":["https://openalex.org/I167274908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.6772000193595886,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.6772000193595886,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.27709999680519104,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.024800000712275505,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/algebraic-eigenvalue-problem","display_name":"matrix eigenvalue problems","score":0.8500000238418579},{"id":"https://openalex.org/keywords/eigenvector-computation","display_name":"eigenvector computation","score":0.9039999842643738},{"id":"https://openalex.org/keywords/evolution-strategies","display_name":"evolution strategies","score":0.5759999752044678},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.6890000104904175},{"id":"https://openalex.org/keywords/selection-and-mutation","display_name":"mutation and selection","score":0.6880000233650208},{"id":"https://openalex.org/keywords/convergence-rate","display_name":"convergence rate","score":0.6970000267028809},{"id":"https://openalex.org/keywords/numerical-accuracy","display_name":"numerical accuracy","score":0.6389999985694885}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.8577220439910889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417260766029358},{"id":"https://openalex.org/C36967811","wikidata":"https://www.wikidata.org/wiki/Q5251123","display_name":"Defective matrix","level":5,"score":0.6270345449447632},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5497444868087769},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5479984283447266},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.529458224773407},{"id":"https://openalex.org/C105671362","wikidata":"https://www.wikidata.org/wiki/Q6787870","display_name":"Matrix differential equation","level":3,"score":0.48893752694129944},{"id":"https://openalex.org/C73772418","wikidata":"https://www.wikidata.org/wiki/Q6888018","display_name":"Modal matrix","level":5,"score":0.4798583388328552},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47610223293304443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4370638430118561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30093836784362793},{"id":"https://openalex.org/C30072841","wikidata":"https://www.wikidata.org/wiki/Q1767080","display_name":"Diagonalizable matrix","level":4,"score":0.30050599575042725},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.2209528386592865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15494093298912048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.061600565910339355},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2359536144","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJC200811031.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764825856","display_name":"Jisuanji gongcheng","issn_l":"1000-3428","issn":["1000-3428"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","poland-20"],"host_organization":"https://openalex.org/P4361727472","host_organization_name":"East China Computer Technology Research Institute","host_organization_lineage":["https://openalex.org/P4361727472"],"host_organization_lineage_names":["East China Computer Technology Research Institute"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Jisuanji gongcheng","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2387798108","https://openalex.org/W2355206821","https://openalex.org/W2358407783","https://openalex.org/W2538157135","https://openalex.org/W2131753971","https://openalex.org/W2386314493","https://openalex.org/W1492848134","https://openalex.org/W2384550314","https://openalex.org/W2922514446","https://openalex.org/W2073681598"],"abstract_inverted_index":{"The":[0,14],"paper":[1],"proposes":[2],"a":[3],"new":[4],"evolution":[5,23],"strategy":[6],"method":[7,15,53,81],"for":[8],"solving":[9,60],"matrix":[10],"eigenvalues":[11,62],"and":[12,25,42,57,63,82],"eigenvectors.":[13],"studies":[16],"the":[17,22,28,32,44,52,61,72,79,83],"individuals":[18],"by":[19],"reorganization,mutation,selection":[20],"in":[21,59],"process":[24],"approaches":[26],"to":[27],"optimal":[29],"solution.":[30],"When":[31],"error":[33],"which":[34],"is":[35,40,54,69,74,86],"given":[36],"beforehand":[37],"achieved,the":[38],"procedure":[39],"terminated":[41],"obtains":[43],"best":[45],"answer.":[46],"Several":[47],"experimental":[48],"results":[49],"show":[50],"that":[51,71],"more":[55],"efficient":[56],"feasible":[58],"eigenvectors":[64],"of":[65],"arbitrary":[66],"matrix.":[67],"It":[68],"found":[70],"accuracy":[73],"ten":[75],"times":[76],"higher":[77],"than":[78],"traditional":[80],"convergent":[84],"speed":[85],"quick.":[87]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}