{"id":"https://openalex.org/W3130355893","doi":"https://doi.org/10.1007/s10915-022-01824-9","title":"Hierarchical Orthogonal Factorization: Sparse Least Squares Problems","display_name":"Hierarchical Orthogonal Factorization: Sparse Least Squares Problems","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W3130355893","doi":"https://doi.org/10.1007/s10915-022-01824-9","mag":"3130355893"},"language":"en","primary_location":{"id":"doi:10.1007/s10915-022-01824-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-022-01824-9","pdf_url":null,"source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific Computing","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/A5090912313","display_name":"Abeynaya Gnanasekaran","orcid":"https://orcid.org/0000-0001-7088-9261"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abeynaya Gnanasekaran","raw_affiliation_strings":["Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7088-9261","affiliations":[{"raw_affiliation_string":"Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061822097","display_name":"Eric Darve","orcid":"https://orcid.org/0000-0002-1938-3836"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Darve","raw_affiliation_strings":["Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090912313"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.3707,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82331033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"91","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9921000003814697,"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/T10739","display_name":"Electromagnetic Scattering and Analysis","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preconditioner","display_name":"Preconditioner","score":0.83222895860672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6902967691421509},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.5811712741851807},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5773540735244751},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5278953313827515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5069677829742432},{"id":"https://openalex.org/keywords/incomplete-lu-factorization","display_name":"Incomplete LU factorization","score":0.5006115436553955},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.476179301738739},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4302371144294739},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4158184826374054},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.40803027153015137},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.33647626638412476},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.29393863677978516},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2001422643661499},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10175171494483948}],"concepts":[{"id":"https://openalex.org/C167431342","wikidata":"https://www.wikidata.org/wiki/Q1754327","display_name":"Preconditioner","level":3,"score":0.83222895860672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6902967691421509},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.5811712741851807},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5773540735244751},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5278953313827515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5069677829742432},{"id":"https://openalex.org/C134978465","wikidata":"https://www.wikidata.org/wiki/Q1654069","display_name":"Incomplete LU factorization","level":4,"score":0.5006115436553955},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.476179301738739},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4302371144294739},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4158184826374054},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.40803027153015137},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.33647626638412476},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.29393863677978516},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2001422643661499},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10175171494483948},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10915-022-01824-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-022-01824-9","pdf_url":null,"source":{"id":"https://openalex.org/S151550017","display_name":"Journal of Scientific Computing","issn_l":"0885-7474","issn":["0885-7474","1573-7691"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3980782865","display_name":null,"funder_award_id":"80NSSC18M0152","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W10284890","https://openalex.org/W1559275088","https://openalex.org/W1584753249","https://openalex.org/W1940191795","https://openalex.org/W1959955997","https://openalex.org/W1964578872","https://openalex.org/W1968743256","https://openalex.org/W1977631509","https://openalex.org/W1981745143","https://openalex.org/W1983886273","https://openalex.org/W1986858853","https://openalex.org/W2010315317","https://openalex.org/W2013336356","https://openalex.org/W2016182223","https://openalex.org/W2027532376","https://openalex.org/W2035080386","https://openalex.org/W2036564429","https://openalex.org/W2043448909","https://openalex.org/W2044557804","https://openalex.org/W2054967989","https://openalex.org/W2062970737","https://openalex.org/W2070232376","https://openalex.org/W2075490698","https://openalex.org/W2083095625","https://openalex.org/W2083206954","https://openalex.org/W2097897435","https://openalex.org/W2106150226","https://openalex.org/W2120970098","https://openalex.org/W2127927798","https://openalex.org/W2132820941","https://openalex.org/W2137541800","https://openalex.org/W2204644860","https://openalex.org/W2316277765","https://openalex.org/W2316564661","https://openalex.org/W2546542042","https://openalex.org/W2566608457","https://openalex.org/W2583532684","https://openalex.org/W2950678188","https://openalex.org/W2963897711","https://openalex.org/W2980201261","https://openalex.org/W3014600398","https://openalex.org/W3022111729","https://openalex.org/W3039986651","https://openalex.org/W3093305795","https://openalex.org/W3100623000","https://openalex.org/W3105305791","https://openalex.org/W3142035222","https://openalex.org/W3190462163","https://openalex.org/W4213388818","https://openalex.org/W4285719527","https://openalex.org/W4302564868"],"related_works":["https://openalex.org/W1986651373","https://openalex.org/W2282105799","https://openalex.org/W2335611625","https://openalex.org/W1994991343","https://openalex.org/W4253114728","https://openalex.org/W1586500733","https://openalex.org/W2157073722","https://openalex.org/W2391090443","https://openalex.org/W2029041499","https://openalex.org/W3215209251"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
