{"id":"https://openalex.org/W2592422147","doi":"https://doi.org/10.1109/acssc.2016.7869679","title":"Tensorlab 3.0 \u2014 Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization","display_name":"Tensorlab 3.0 \u2014 Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2592422147","doi":"https://doi.org/10.1109/acssc.2016.7869679","mag":"2592422147"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003192020","display_name":"Nico Vervliet","orcid":"https://orcid.org/0000-0003-3006-4155"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nico Vervliet","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033633807","display_name":"Otto Debals","orcid":"https://orcid.org/0000-0002-1335-6079"},"institutions":[{"id":"https://openalex.org/I150145467","display_name":"University College West Flanders","ror":"https://ror.org/00fy5v859","country_code":"BE","type":"education","lineage":["https://openalex.org/I150145467"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Otto Debals","raw_affiliation_strings":["Group Science, Engineering and Technology, Kortrijk, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group Science, Engineering and Technology, Kortrijk, Belgium","institution_ids":["https://openalex.org/I150145467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009006026","display_name":"Lieven De Lathauwer","orcid":"https://orcid.org/0000-0001-5562-5014"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven De Lathauwer","raw_affiliation_strings":["Katholieke Universiteit Leuven, Leuven, Flanders, BE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Katholieke Universiteit Leuven, Leuven, Flanders, BE","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0252,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98947368,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1733","last_page":"1738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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":0.9883999824523926,"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":0.9677000045776367,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6317817568778992},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6035067439079285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585905909538269},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5780174136161804},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5692384243011475},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5644665956497192},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48900851607322693},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4643803834915161},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45416292548179626},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44942545890808105},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4242393672466278},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4190332889556885},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41579577326774597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3891313672065735},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3549744486808777},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34945210814476013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3291223645210266}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6317817568778992},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6035067439079285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585905909538269},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5780174136161804},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5692384243011475},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5644665956497192},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48900851607322693},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4643803834915161},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45416292548179626},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44942545890808105},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4242393672466278},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4190332889556885},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41579577326774597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3891313672065735},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3549744486808777},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34945210814476013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3291223645210266},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2016.7869679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/577435","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/577435/1/vervliet2016tensorlabnumerical.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2016","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1538092215","https://openalex.org/W1814521481","https://openalex.org/W1989811026","https://openalex.org/W1993482030","https://openalex.org/W2007715285","https://openalex.org/W2013912476","https://openalex.org/W2014617517","https://openalex.org/W2038920431","https://openalex.org/W2055913665","https://openalex.org/W2086261631","https://openalex.org/W2103537693","https://openalex.org/W2105186495","https://openalex.org/W2117756735","https://openalex.org/W2119412403","https://openalex.org/W2140862024","https://openalex.org/W2141280932","https://openalex.org/W2159071216","https://openalex.org/W2167083368","https://openalex.org/W2282347063","https://openalex.org/W2469230926","https://openalex.org/W2490308495","https://openalex.org/W2531542831","https://openalex.org/W6719972455"],"related_works":["https://openalex.org/W2378076731","https://openalex.org/W4286888643","https://openalex.org/W3210795196","https://openalex.org/W2088988140","https://openalex.org/W3171015545","https://openalex.org/W2103019253","https://openalex.org/W2951529875","https://openalex.org/W2898722594","https://openalex.org/W2125326641","https://openalex.org/W133838137"],"abstract_inverted_index":{"We":[0],"give":[1],"an":[2],"overview":[3],"of":[4,11,20,30],"recent":[5],"developments":[6],"in":[7,23,34],"numerical":[8],"optimization-based":[9],"computation":[10,55],"tensor":[12,31],"decompositions":[13],"that":[14],"have":[15],"led":[16],"to":[17,56,86,93],"the":[18,54,81,88],"release":[19],"Tensorlab":[21],"3.0":[22],"March":[24],"2016":[25],"(www.tensorlab.net).":[26],"By":[27],"careful":[28],"exploitation":[29],"product":[32],"structure":[33,83],"methods":[35],"such":[36],"as":[37],"quasi-Newton":[38],"and":[39,59],"nonlinear":[40],"least":[41],"squares,":[42],"good":[43],"convergence":[44],"is":[45],"combined":[46],"with":[47],"fast":[48],"computation.":[49],"A":[50],"modular":[51],"approach":[52],"extends":[53],"coupled":[57],"factorizations":[58,92],"structured":[60],"factors.":[61],"Given":[62],"large":[63,94],"datasets,":[64],"different":[65],"compact":[66],"representations":[67],"(polyadic,":[68],"Tucker,\u2026)":[69],"may":[70],"be":[71],"obtained":[72],"by":[73],"stochastic":[74],"optimization,":[75],"randomization,":[76],"compressed":[77],"sensing,":[78],"etc.":[79],"Exploiting":[80],"representation":[82],"allows":[84],"us":[85],"scale":[87],"algorithms":[89],"for":[90],"constrained/coupled":[91],"problem":[95],"sizes.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2017-03-16T00:00:00"}
