{"id":"https://openalex.org/W2605205093","doi":"https://doi.org/10.1109/ccta.2017.8062533","title":"Weight design of distributed approximate Newton algorithms for constrained optimization","display_name":"Weight design of distributed approximate Newton algorithms for constrained optimization","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2605205093","doi":"https://doi.org/10.1109/ccta.2017.8062533","mag":"2605205093"},"language":"en","primary_location":{"id":"doi:10.1109/ccta.2017.8062533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2017.8062533","pdf_url":null,"source":{"id":"https://openalex.org/S4306498159","display_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.07865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075036979","display_name":"Tor Anderson","orcid":"https://orcid.org/0000-0003-3251-9950"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tor Anderson","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070677065","display_name":"Chin-Yao Chang","orcid":"https://orcid.org/0000-0002-5972-0139"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Yao Chang","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024022921","display_name":"Sonia Mart\u0131\u0301nez","orcid":"https://orcid.org/0000-0001-6756-1484"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonia Martinez","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075036979"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48290155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"632","last_page":"637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9983000159263611,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7114068269729614},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.606910765171051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055676341056824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6031078100204468},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5682440996170044},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5370762348175049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5143588781356812},{"id":"https://openalex.org/keywords/newtons-method","display_name":"Newton's method","score":0.48509395122528076},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.4533795416355133},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.445745587348938},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.426597535610199},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.42328503727912903},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.42306458950042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30843061208724976},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.15611910820007324},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1395077407360077},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.11529147624969482}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7114068269729614},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.606910765171051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055676341056824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6031078100204468},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5682440996170044},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5370762348175049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5143588781356812},{"id":"https://openalex.org/C85189116","wikidata":"https://www.wikidata.org/wiki/Q374195","display_name":"Newton's method","level":3,"score":0.48509395122528076},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.4533795416355133},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.445745587348938},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.426597535610199},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.42328503727912903},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.42306458950042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30843061208724976},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.15611910820007324},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1395077407360077},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.11529147624969482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ccta.2017.8062533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2017.8062533","pdf_url":null,"source":{"id":"https://openalex.org/S4306498159","display_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1703.07865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.07865","pdf_url":"https://arxiv.org/pdf/1703.07865","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2605205093","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1703.07865","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1703.07865","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.07865","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.07865","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.07865","pdf_url":"https://arxiv.org/pdf/1703.07865","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605205093.pdf","grobid_xml":"https://content.openalex.org/works/W2605205093.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1506342804","https://openalex.org/W1542938076","https://openalex.org/W1583138050","https://openalex.org/W1989165177","https://openalex.org/W2043363105","https://openalex.org/W2114085163","https://openalex.org/W2129122308","https://openalex.org/W2134379805","https://openalex.org/W2142640751","https://openalex.org/W2156513118","https://openalex.org/W2291776862","https://openalex.org/W2296319761","https://openalex.org/W2494670408","https://openalex.org/W2552502002","https://openalex.org/W2811008754","https://openalex.org/W4250589301","https://openalex.org/W6661066066","https://openalex.org/W6697869319"],"related_works":["https://openalex.org/W2118761999","https://openalex.org/W3105169789","https://openalex.org/W1502632589","https://openalex.org/W3046107682","https://openalex.org/W2964305565","https://openalex.org/W2963755123","https://openalex.org/W3131057411","https://openalex.org/W3092043518","https://openalex.org/W3014437574","https://openalex.org/W2954786013","https://openalex.org/W3105600443","https://openalex.org/W2015261243","https://openalex.org/W3153428430","https://openalex.org/W3118505676","https://openalex.org/W2946276201","https://openalex.org/W1938113357","https://openalex.org/W1494003781","https://openalex.org/W3108157704","https://openalex.org/W1974661392","https://openalex.org/W2044911264"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,17,42,55,157],"distributed":[4,61,75,85,153],"algorithm":[5,77,91,155],"to":[6,28,49,78,101,133,151,162,168],"solve":[7,29],"an":[8,122],"economic":[9],"dispatch":[10],"problem,":[11],"which":[12,34,45,125],"takes":[13],"the":[14,74,80,103,131,135,141,152,169],"form":[15],"of":[16,31,89,105],"linearly-constrained":[18],"resource":[19],"allocation":[20],"problem.":[21],"Distributed":[22,170],"gradient-based":[23],"methods":[24],"are":[25,112],"commonly":[26],"used":[27],"problems":[30],"this":[32,70,90,118],"form,":[33],"inherit":[35],"slow":[36],"convergence.":[37,52],"The":[38,87],"Newton":[39,56,81],"method":[40],"is":[41,58,92,126],"centralized":[43],"alternative":[44],"uses":[46],"second-order":[47,115],"information":[48],"provide":[50],"faster":[51],"However,":[53],"computing":[54],"step":[57,82],"difficult":[59],"in":[60,140],"settings":[62],"and":[63,94,109],"typically":[64],"requires":[65],"all-to-all":[66],"agent":[67],"communication.":[68,86],"In":[69,97],"paper,":[71],"we":[72,99,120],"propose":[73,121],"approx-Newton":[76,154],"approximate":[79],"with":[83],"only":[84],"convergence":[88,159],"discussed":[93],"rigorously":[95],"analyzed.":[96],"addition,":[98],"aim":[100],"address":[102,134],"problem":[104],"designing":[106],"communication":[107],"topologies":[108],"weightings":[110],"that":[111,145],"optimal":[113],"for":[114],"methods.":[116],"To":[117],"end,":[119],"effective":[123],"approximation":[124],"loosely":[127],"based":[128],"on":[129],"completing":[130],"square":[132],"NP-hard":[136],"bilinear":[137],"optimization":[138],"involved":[139],"design.":[142],"Simulations":[143],"demonstrate":[144],"our":[146],"proposed":[147],"weight":[148,165],"design":[149,166],"applied":[150,167],"has":[156],"superior":[158],"property":[160],"compared":[161],"existing":[163],"gradient-inspired":[164],"Gradient":[171],"Descent":[172],"method.":[173]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}