{"id":"https://openalex.org/W3042354052","doi":"https://doi.org/10.1109/access.2020.3009456","title":"Reusing Preconditioners in Projection Based Model Order Reduction Algorithms","display_name":"Reusing Preconditioners in Projection Based Model Order Reduction Algorithms","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3042354052","doi":"https://doi.org/10.1109/access.2020.3009456","mag":"3042354052"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009456","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09141284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09141284.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016944750","display_name":"Navneet Pratap Singh","orcid":"https://orcid.org/0000-0001-6403-2229"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Navneet Pratap Singh","raw_affiliation_strings":["Data and Computational Sciences Laboratory, IIT Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Data and Computational Sciences Laboratory, IIT Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068503569","display_name":"Kapil Ahuja","orcid":"https://orcid.org/0000-0001-9640-4437"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kapil Ahuja","raw_affiliation_strings":["Data and Computational Sciences Laboratory, IIT Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Data and Computational Sciences Laboratory, IIT Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":0.309,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.472499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":"8","issue":null,"first_page":"133233","last_page":"133247"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11416","display_name":"Numerical methods for differential equations","score":0.9976,"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":0.9967,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6303921},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.62803566},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6062228},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5994304},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.56697106},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47282088},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46786928},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4671269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2895549},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009456","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09141284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/993313a3c678482f973efbc8d4e6f56b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2003.12759","pdf_url":"https://arxiv.org/pdf/2003.12759","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009456","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09141284.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board","award_id":"MTR/2017/001023"}],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W110690611","https://openalex.org/W136155927","https://openalex.org/W1459884897","https://openalex.org/W1501384927","https://openalex.org/W1504772265","https://openalex.org/W1506342804","https://openalex.org/W1540248737","https://openalex.org/W1551480811","https://openalex.org/W1556851660","https://openalex.org/W1693006369","https://openalex.org/W1866509665","https://openalex.org/W1966992674","https://openalex.org/W1981220107","https://openalex.org/W1984779880","https://openalex.org/W1986652366","https://openalex.org/W1987613138","https://openalex.org/W1994805693","https://openalex.org/W1998129275","https://openalex.org/W1999086185","https://openalex.org/W2017999133","https://openalex.org/W2022819055","https://openalex.org/W2023560448","https://openalex.org/W2028828529","https://openalex.org/W2052005273","https://openalex.org/W2064620942","https://openalex.org/W2078311192","https://openalex.org/W2094991849","https://openalex.org/W2133642820","https://openalex.org/W2137874355","https://openalex.org/W2140153041","https://openalex.org/W2155216327","https://openalex.org/W2183060642","https://openalex.org/W2188836436","https://openalex.org/W2289600137","https://openalex.org/W2356092338","https://openalex.org/W243812323","https://openalex.org/W2480611454","https://openalex.org/W2508907848","https://openalex.org/W2549767625","https://openalex.org/W2612689305","https://openalex.org/W2621879478","https://openalex.org/W2656044211","https://openalex.org/W2747502909","https://openalex.org/W2913760241","https://openalex.org/W2920477023","https://openalex.org/W2942401220","https://openalex.org/W2944573001","https://openalex.org/W2948954937","https://openalex.org/W2949446725","https://openalex.org/W2963266001","https://openalex.org/W2963331053","https://openalex.org/W4255364734","https://openalex.org/W4288024372","https://openalex.org/W4293281618"],"related_works":["https://openalex.org/W2999162218","https://openalex.org/W2991736735","https://openalex.org/W2390634956","https://openalex.org/W2384475851","https://openalex.org/W2381798600","https://openalex.org/W2367078749","https://openalex.org/W2353602216","https://openalex.org/W2351618306","https://openalex.org/W2133117170","https://openalex.org/W2000444236"],"abstract_inverted_index":{"Dynamical":[0],"systems":[1,13,52],"are":[2,72],"pervasive":[3],"in":[4,57,64,134,157,188],"almost":[5],"all":[6],"engineering":[7],"and":[8,106,162],"scientific":[9],"applications.":[10],"Simulating":[11],"such":[12,51],"is":[14,23,150],"computationally":[15],"very":[16],"intensive.":[17],"Hence,":[18],"Model":[19],"Order":[20],"Reduction":[21],"(MOR)":[22],"used":[24],"to":[25,28,61,115,140,180,185],"reduce":[26],"them":[27,113],"a":[29,171,196],"lower":[30],"dimension.":[31],"Most":[32],"of":[33,42,77,183,198],"the":[34,62,65,90,104,107,116,135,141,189],"MOR":[35,92,159],"algorithms":[36],"require":[37],"solving":[38,50],"large":[39],"sparse":[40],"sequences":[41],"linear":[43],"systems.":[44],"Since":[45],"using":[46],"direct":[47],"methods":[48,71],"for":[49,89,102,169],"does":[53],"not":[54],"scale":[55],"well":[56],"time":[58,192],"with":[59],"respect":[60],"increase":[63],"input":[66],"dimension,":[67],"efficient":[68],"preconditioned":[69],"iterative":[70],"commonly":[73],"used.":[74],"In":[75],"one":[76],"our":[78],"previous":[79],"works,":[80],"we":[81,98,125,145,164],"have":[82,119],"shown":[83],"substantial":[84],"improvements":[85],"by":[86],"reusing":[87,148,167],"preconditioners":[88,128,149,168],"parametric":[91,108,142],"(Singh":[93],"et":[94],"al.":[95],"2019).":[96],"Here,":[97],"had":[99,111],"proposed":[100],"techniques":[101],"both,":[103],"non-parametric":[105,136],"cases,":[109],"but":[110],"applied":[112],"only":[114],"latter.":[117],"We":[118],"three":[120],"main":[121],"contributions":[122],"here.":[123],"First,":[124],"demonstrate":[126,165],"that":[127,147,166],"can":[129],"be":[130],"reused":[131],"more":[132],"effectively":[133],"case":[137],"as":[138],"compared":[139],"one.":[143],"Second,":[144],"show":[146],"an":[151],"art":[152],"via":[153],"detailed":[154],"algorithmic":[155],"implementations":[156],"multiple":[158],"algorithms.":[160],"Third":[161],"final,":[163],"reducing":[170],"real-life":[172],"industrial":[173],"problem":[174],"(of":[175],"size":[176],"1.2":[177],"million),":[178],"leads":[179],"relative":[181],"savings":[182],"up":[184],"64":[186],"%":[187],"total":[190],"computation":[191],"(in":[193],"absolute":[194],"terms":[195],"saving":[197],"5":[199],"days).":[200]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3042354052","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2024-12-08T01:47:41.875658","created_date":"2020-07-23"}
