{"id":"https://openalex.org/W3040666342","doi":"https://doi.org/10.1007/s11590-021-01716-1","title":"On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression","display_name":"On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression","publication_year":2021,"publication_date":"2021-03-03","ids":{"openalex":"https://openalex.org/W3040666342","doi":"https://doi.org/10.1007/s11590-021-01716-1","mag":"3040666342"},"language":"en","primary_location":{"id":"doi:10.1007/s11590-021-01716-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-021-01716-1","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"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":"Optimization Letters","raw_type":"journal-article"},"type":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.01169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002569473","display_name":"Shummin Nakayama","orcid":"https://orcid.org/0000-0001-7780-8348"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shummin Nakayama","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan","chuo university"],"raw_orcid":"https://orcid.org/0000-0001-7780-8348","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan","institution_ids":["https://openalex.org/I96679780"]},{"raw_affiliation_string":"chuo university","institution_ids":["https://openalex.org/I96679780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054720711","display_name":"Jun\u2010ya Gotoh","orcid":"https://orcid.org/0000-0002-0097-7298"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun-ya Gotoh","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan","chuo university"],"raw_orcid":"https://orcid.org/0000-0002-0097-7298","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan","institution_ids":["https://openalex.org/I96679780"]},{"raw_affiliation_string":"chuo university","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002569473"],"corresponding_institution_ids":["https://openalex.org/I96679780"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.1781,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4199734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":"8","first_page":"2831","last_page":"2860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9839000105857849,"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":0.983299970626831,"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/stationary-point","display_name":"Stationary point","score":0.6534208655357361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5787069797515869},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5589153170585632},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5397433042526245},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5103470683097839},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4756188690662384},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.46953925490379333},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.46251192688941956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44261205196380615},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3890295922756195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37580448389053345},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.30056431889533997},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18899166584014893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1521051526069641}],"concepts":[{"id":"https://openalex.org/C189237950","wikidata":"https://www.wikidata.org/wiki/Q2500758","display_name":"Stationary point","level":2,"score":0.6534208655357361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5787069797515869},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5589153170585632},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5397433042526245},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5103470683097839},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4756188690662384},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.46953925490379333},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.46251192688941956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44261205196380615},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3890295922756195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37580448389053345},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.30056431889533997},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18899166584014893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1521051526069641},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11590-021-01716-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-021-01716-1","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"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":"Optimization Letters","raw_type":"journal-article"},{"id":"mag:3040666342","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.01169","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.2007.01169","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2007.01169","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-journal"}],"best_oa_location":{"id":"mag:3040666342","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.01169","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},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1063355905","display_name":null,"funder_award_id":"20H00285","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4402424382","display_name":null,"funder_award_id":"19H00808","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G549311874","display_name":null,"funder_award_id":"20K14986","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5645070891","display_name":null,"funder_award_id":"20K11698","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6459289711","display_name":null,"funder_award_id":"19H02379","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1965125844","https://openalex.org/W1967138577","https://openalex.org/W2027982384","https://openalex.org/W2050968963","https://openalex.org/W2074682976","https://openalex.org/W2076605490","https://openalex.org/W2107861471","https://openalex.org/W2126607811","https://openalex.org/W2154231875","https://openalex.org/W2166956514","https://openalex.org/W2225235077","https://openalex.org/W2576873436","https://openalex.org/W2738241071","https://openalex.org/W2743133559","https://openalex.org/W2890947376","https://openalex.org/W2963562721","https://openalex.org/W2963598490","https://openalex.org/W2963965252","https://openalex.org/W2983031867","https://openalex.org/W3037993562","https://openalex.org/W3083575911"],"related_works":["https://openalex.org/W2364382337","https://openalex.org/W2910761930","https://openalex.org/W2944517508","https://openalex.org/W2949802012","https://openalex.org/W2030161963","https://openalex.org/W2785788333","https://openalex.org/W2952393195","https://openalex.org/W2771029897","https://openalex.org/W2955707601","https://openalex.org/W3171269428","https://openalex.org/W2964232258","https://openalex.org/W2284470861","https://openalex.org/W3126104326","https://openalex.org/W2897048230","https://openalex.org/W3101017602","https://openalex.org/W2519921862","https://openalex.org/W2927598857","https://openalex.org/W2672144806","https://openalex.org/W1553537022","https://openalex.org/W3092255678"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}