{"id":"https://openalex.org/W3178578982","doi":"https://doi.org/10.1007/s10915-022-01873-0","title":"A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint","display_name":"A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W3178578982","doi":"https://doi.org/10.1007/s10915-022-01873-0","mag":"3178578982"},"language":"en","primary_location":{"id":"doi:10.1007/s10915-022-01873-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-022-01873-0","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/A5049126060","display_name":"Guiyun Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyun Xiao","raw_affiliation_strings":["School of Mathematical Sciences, Xiamen University, Xiamen, 361005, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Xiamen University, Xiamen, 361005, People\u2019s Republic of China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055283405","display_name":"Zheng\u2010Jian Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng-Jian Bai","raw_affiliation_strings":["School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling & High Performance Scientific Computing, Xiamen University, Xiamen, 361005, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling & High Performance Scientific Computing, Xiamen University, Xiamen, 361005, People\u2019s Republic of China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055283405"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4962,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53612342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"92","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9890999794006348,"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/mathematics","display_name":"Mathematics","score":0.8235485553741455},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6695023775100708},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.635316789150238},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.6257392168045044},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5721331834793091},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5627172589302063},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48493221402168274},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4684726297855377},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.46161898970603943},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4378645718097687},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4168316721916199},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2246856391429901},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13252365589141846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.12305620312690735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09545925259590149},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07633832097053528}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8235485553741455},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6695023775100708},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.635316789150238},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.6257392168045044},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5721331834793091},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5627172589302063},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48493221402168274},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4684726297855377},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.46161898970603943},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4378645718097687},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4168316721916199},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2246856391429901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13252365589141846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.12305620312690735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09545925259590149},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07633832097053528},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10915-022-01873-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10915-022-01873-0","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/G6085593013","display_name":null,"funder_award_id":"11671337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W626183909","https://openalex.org/W1523985187","https://openalex.org/W1560186524","https://openalex.org/W1571891096","https://openalex.org/W1804110266","https://openalex.org/W1964570608","https://openalex.org/W2027982384","https://openalex.org/W2060535971","https://openalex.org/W2060782393","https://openalex.org/W2084252873","https://openalex.org/W2090963365","https://openalex.org/W2098760944","https://openalex.org/W2103628488","https://openalex.org/W2109629159","https://openalex.org/W2129732816","https://openalex.org/W2143265137","https://openalex.org/W2153562582","https://openalex.org/W2156458885","https://openalex.org/W2162479941","https://openalex.org/W2163171358","https://openalex.org/W2296319761","https://openalex.org/W2763081248","https://openalex.org/W2798766386","https://openalex.org/W2885805407","https://openalex.org/W2964797890","https://openalex.org/W3157341860","https://openalex.org/W4205293427","https://openalex.org/W4235706696","https://openalex.org/W4241044629","https://openalex.org/W4242209908","https://openalex.org/W4249513058","https://openalex.org/W4249667877","https://openalex.org/W4250589301","https://openalex.org/W4299512035"],"related_works":["https://openalex.org/W1996913881","https://openalex.org/W2067631180","https://openalex.org/W2767307537","https://openalex.org/W2077133726","https://openalex.org/W1486698194","https://openalex.org/W1996317575","https://openalex.org/W2615709397","https://openalex.org/W2050152410","https://openalex.org/W112932971","https://openalex.org/W3106372899"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
