{"id":"https://openalex.org/W2535299048","doi":"https://doi.org/10.1109/embc.2016.7591407","title":"Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem","display_name":"Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2535299048","doi":"https://doi.org/10.1109/embc.2016.7591407","mag":"2535299048","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268986"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7591407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7591407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01476136","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032528704","display_name":"Majd Saleh","orcid":"https://orcid.org/0000-0003-1800-0028"},"institutions":[{"id":"https://openalex.org/I137613304","display_name":"Homs University","ror":"https://ror.org/01pwpsf61","country_code":"SY","type":"education","lineage":["https://openalex.org/I137613304"]}],"countries":["SY"],"is_corresponding":false,"raw_author_name":"M. Saleh","raw_affiliation_strings":["Faculty of Mechanical and Electrical Engineering, AL-Baath University, Homs, Syria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical and Electrical Engineering, AL-Baath University, Homs, Syria","institution_ids":["https://openalex.org/I137613304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061193533","display_name":"Ahmad Karfoul","orcid":"https://orcid.org/0000-0002-3977-9141"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Karfoul","raw_affiliation_strings":["INSERM, UMR 1099, Rennes, France","LTSI, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSERM, UMR 1099, Rennes, France","institution_ids":["https://openalex.org/I4210105651","https://openalex.org/I154526488"]},{"raw_affiliation_string":"LTSI, Rennes, France","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045539855","display_name":"Amar Kachenoura","orcid":"https://orcid.org/0000-0003-4340-1261"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Kachenoura","raw_affiliation_strings":["INSERM, UMR 1099, Rennes, France","LTSI, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSERM, UMR 1099, Rennes, France","institution_ids":["https://openalex.org/I4210105651","https://openalex.org/I154526488"]},{"raw_affiliation_string":"LTSI, Rennes, France","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028457159","display_name":"Lotfi Senhadji","orcid":"https://orcid.org/0000-0001-9434-6341"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Senhadji","raw_affiliation_strings":["INSERM, UMR 1099, Rennes, France","LTSI, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSERM, UMR 1099, Rennes, France","institution_ids":["https://openalex.org/I4210105651","https://openalex.org/I154526488"]},{"raw_affiliation_string":"LTSI, Rennes, France","institution_ids":["https://openalex.org/I4210105651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015307055","display_name":"Laurent Albera","orcid":"https://orcid.org/0000-0002-2109-5649"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Albera","raw_affiliation_strings":["INSERM, UMR 1099, Rennes, France","LTSI, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSERM, UMR 1099, Rennes, France","institution_ids":["https://openalex.org/I4210105651","https://openalex.org/I154526488"]},{"raw_affiliation_string":"LTSI, Rennes, France","institution_ids":["https://openalex.org/I4210105651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11240106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":null,"first_page":"3191","last_page":"3194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9943000078201294,"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/hessian-matrix","display_name":"Hessian matrix","score":0.84919273853302},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.6829112768173218},{"id":"https://openalex.org/keywords/nonlinear-conjugate-gradient-method","display_name":"Nonlinear conjugate gradient method","score":0.6613645553588867},{"id":"https://openalex.org/keywords/broyden\u2013fletcher\u2013goldfarb\u2013shanno-algorithm","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","score":0.62087082862854},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6062432527542114},{"id":"https://openalex.org/keywords/fastica","display_name":"FastICA","score":0.5835012197494507},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5771886110305786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637609958648682},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5502590537071228},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.5490867495536804},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5283359289169312},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5144445896148682},{"id":"https://openalex.org/keywords/newtons-method","display_name":"Newton's method","score":0.5064438581466675},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.493085116147995},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4821745753288269},{"id":"https://openalex.org/keywords/quasi-newton-method","display_name":"Quasi-Newton method","score":0.44318124651908875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4269183278083801},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4157163202762604},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.31712818145751953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29344600439071655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1605096459388733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10804679989814758},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09441578388214111}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.84919273853302},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.6829112768173218},{"id":"https://openalex.org/C26362088","wikidata":"https://www.wikidata.org/wiki/Q17086453","display_name":"Nonlinear conjugate gradient method","level":4,"score":0.6613645553588867},{"id":"https://openalex.org/C132721684","wikidata":"https://www.wikidata.org/wiki/Q2877013","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","level":3,"score":0.62087082862854},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6062432527542114},{"id":"https://openalex.org/C157709420","wikidata":"https://www.wikidata.org/wiki/Q3739974","display_name":"FastICA","level":4,"score":0.5835012197494507},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5771886110305786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637609958648682},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5502590537071228},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.5490867495536804},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5283359289169312},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5144445896148682},{"id":"https://openalex.org/C85189116","wikidata":"https://www.wikidata.org/wiki/Q374195","display_name":"Newton's method","level":3,"score":0.5064438581466675},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.493085116147995},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4821745753288269},{"id":"https://openalex.org/C114954040","wikidata":"https://www.wikidata.org/wiki/Q1476018","display_name":"Quasi-Newton method","level":4,"score":0.44318124651908875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4269183278083801},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4157163202762604},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.31712818145751953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29344600439071655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1605096459388733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10804679989814758},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09441578388214111},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009682","descriptor_name":"Magnetic Resonance Spectroscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2016.7591407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7591407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268986","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268986","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:HAL:hal-01476136v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01476136","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conference proceedings : . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2016, Feb 2016, Orlando, United States. pp.3191-3194, ⟨10.1109/EMBC.2016.7591407⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01476136v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01476136","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conference proceedings : . Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2016, Feb 2016, Orlando, United States. pp.3191-3194, ⟨10.1109/EMBC.2016.7591407⟩","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W1611306188","https://openalex.org/W1973443204","https://openalex.org/W1983821361","https://openalex.org/W2050616618","https://openalex.org/W2050637571","https://openalex.org/W2099741732","https://openalex.org/W2105957367","https://openalex.org/W2110527401","https://openalex.org/W2129103939","https://openalex.org/W2136424517","https://openalex.org/W2141224535","https://openalex.org/W2144867092","https://openalex.org/W2296319761","https://openalex.org/W3103391113","https://openalex.org/W4205778870","https://openalex.org/W4247480362","https://openalex.org/W4250589301","https://openalex.org/W4301909677","https://openalex.org/W6636600811"],"related_works":["https://openalex.org/W3199158697","https://openalex.org/W2906115589","https://openalex.org/W3210179682","https://openalex.org/W2518385766","https://openalex.org/W2272058142","https://openalex.org/W2051800432","https://openalex.org/W2075313995","https://openalex.org/W2615612939","https://openalex.org/W2761098424","https://openalex.org/W1991750265"],"abstract_inverted_index":{"Improving":[0],"the":[1,5,9,14,29,37,46,53,56,66,70,75,102,105,109,113],"execution":[2],"time":[3],"and":[4,26,65],"numerical":[6],"complexity":[7],"of":[8,52,55,74,104],"well-known":[10],"kurtosis-based":[11],"maximization":[12],"method,":[13],"RobustICA,":[15],"is":[16,24,42,60,89],"investigated":[17,43],"in":[18],"this":[19],"paper.":[20],"A":[21,33],"Newton-based":[22],"scheme":[23],"proposed":[25,63,106],"compared":[27],"to":[28],"conventional":[30],"RobustICA":[31,77],"method.":[32,115],"new":[34],"implementation":[35],"using":[36,112],"nonlinear":[38],"Conjugate":[39],"Gradient":[40],"one":[41,111],"also.":[44],"Regarding":[45],"Newton":[47],"approach,":[48],"an":[49],"exact":[50],"computation":[51],"Hessian":[54],"considered":[57,67],"cost":[58],"function":[59],"provided.":[61],"The":[62],"approaches":[64,107],"implementations":[68],"inherit":[69],"global":[71],"plane":[72],"search":[73],"initial":[76],"method":[78],"for":[79,85],"which":[80],"a":[81,86],"better":[82],"convergence":[83],"speed":[84],"given":[87],"direction":[88],"still":[90],"guaranteed.":[91],"Numerical":[92],"results":[93],"on":[94],"Magnetic":[95],"Resonance":[96],"Spectroscopy":[97],"(MRS)":[98],"source":[99],"separation":[100],"show":[101],"efficiency":[103],"notably":[108],"quasi-Newton":[110],"BFGS":[114]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}