{"id":"https://openalex.org/W4400887527","doi":"https://doi.org/10.1007/s11075-024-01878-w","title":"TRIPs-Py: Techniques for regularization of inverse problems in python","display_name":"TRIPs-Py: Techniques for regularization of inverse problems in python","publication_year":2024,"publication_date":"2024-07-22","ids":{"openalex":"https://openalex.org/W4400887527","doi":"https://doi.org/10.1007/s11075-024-01878-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11075-024-01878-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11075-024-01878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11075-024-01878-w.pdf","source":{"id":"https://openalex.org/S117494069","display_name":"Numerical Algorithms","issn_l":"1017-1398","issn":["1017-1398","1572-9265"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Numerical Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11075-024-01878-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065506133","display_name":"Mirjeta Pasha","orcid":"https://orcid.org/0000-0003-4249-2421"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mirjeta Pasha","raw_affiliation_strings":["Laboratory for Decision and Information System, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Decision and Information System, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004148217","display_name":"Silvia Gazzola","orcid":"https://orcid.org/0000-0001-9588-0896"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Silvia Gazzola","raw_affiliation_strings":["Department of Mathematical Sciences, University of Bath, 4 West 5.7, Bath, BA2 7AY, United Kindom, UK"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Bath, 4 West 5.7, Bath, BA2 7AY, United Kindom, UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077507169","display_name":"Connor Sanderford","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connor Sanderford","raw_affiliation_strings":["School for Biological and Health Systems Engineering, Arizona State University, 501 E Tyler Mall Win, Tempe, 85281, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"School for Biological and Health Systems Engineering, Arizona State University, 501 E Tyler Mall Win, Tempe, 85281, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061890777","display_name":"Ugochukwu O. Ugwu","orcid":"https://orcid.org/0000-0002-7743-2544"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ugochukwu O. Ugwu","raw_affiliation_strings":["School of Engineering, Electrical and Computer Engineering, Tufts University, 161 College Avenue, Medford, 02155, MA, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Electrical and Computer Engineering, Tufts University, 161 College Avenue, Medford, 02155, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065506133"],"corresponding_institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.7179,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89210072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"99","issue":"1","first_page":"285","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7691347599029541},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.706744372844696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6439256072044373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892529487609863},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5724812150001526},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5226154923439026},{"id":"https://openalex.org/keywords/krylov-subspace","display_name":"Krylov subspace","score":0.4536033868789673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36573493480682373},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32216453552246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2553298771381378},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.2226422131061554},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1286110281944275}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7691347599029541},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.706744372844696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6439256072044373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892529487609863},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5724812150001526},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5226154923439026},{"id":"https://openalex.org/C147060835","wikidata":"https://www.wikidata.org/wiki/Q1757151","display_name":"Krylov subspace","level":3,"score":0.4536033868789673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36573493480682373},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32216453552246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2553298771381378},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.2226422131061554},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1286110281944275},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11075-024-01878-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11075-024-01878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11075-024-01878-w.pdf","source":{"id":"https://openalex.org/S117494069","display_name":"Numerical Algorithms","issn_l":"1017-1398","issn":["1017-1398","1572-9265"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Numerical Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1286492","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1286492","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11075-024-01878-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11075-024-01878-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11075-024-01878-w.pdf","source":{"id":"https://openalex.org/S117494069","display_name":"Numerical Algorithms","issn_l":"1017-1398","issn":["1017-1398","1572-9265"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Numerical Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3341554066","display_name":null,"funder_award_id":"EP/R014604/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5585303989","display_name":null,"funder_award_id":"2202846","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400887527.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W101236918","https://openalex.org/W319611471","https://openalex.org/W613352991","https://openalex.org/W637574335","https://openalex.org/W1506342804","https://openalex.org/W1594234351","https://openalex.org/W1859434065","https://openalex.org/W1977820150","https://openalex.org/W1992609597","https://openalex.org/W2002916884","https://openalex.org/W2033242948","https://openalex.org/W2036842360","https://openalex.org/W2040517289","https://openalex.org/W2053189442","https://openalex.org/W2062846995","https://openalex.org/W2095376540","https://openalex.org/W2117686912","https://openalex.org/W2125624993","https://openalex.org/W2161169693","https://openalex.org/W2337734184","https://openalex.org/W2489539531","https://openalex.org/W2501312908","https://openalex.org/W2573734040","https://openalex.org/W2767053458","https://openalex.org/W2889292721","https://openalex.org/W2962832489","https://openalex.org/W2964137678","https://openalex.org/W3038030374","https://openalex.org/W3084063349","https://openalex.org/W3089371893","https://openalex.org/W3128967071","https://openalex.org/W3129338540","https://openalex.org/W3152401610","https://openalex.org/W3182443711","https://openalex.org/W3210442479","https://openalex.org/W3217247658","https://openalex.org/W4205213118","https://openalex.org/W4237006396","https://openalex.org/W4246327874","https://openalex.org/W4312258136","https://openalex.org/W4384572288","https://openalex.org/W4396780287","https://openalex.org/W4400281096","https://openalex.org/W6842806373"],"related_works":["https://openalex.org/W1987723384","https://openalex.org/W2337734184","https://openalex.org/W2388364587","https://openalex.org/W2050033254","https://openalex.org/W2322955667","https://openalex.org/W2373176546","https://openalex.org/W2561531189","https://openalex.org/W2152224705","https://openalex.org/W2385735574","https://openalex.org/W2374214022"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,185],"paper":[3],"we":[4],"describe":[5],"TRIPs-Py,":[6],"a":[7,46],"new":[8],"Python":[9,181],"package":[10,24,183],"of":[11,22,49,124,162,174,184],"linear":[12],"discrete":[13],"inverse":[14,36],"problems":[15,43,127,141,144],"solvers":[16,52,79,114],"and":[17,34,38,66,68,77,107,135,192],"test":[18,42,126,140,169],"problems.":[19,170],"The":[20,51],"goal":[21],"the":[23,120,125,155,160,163,167,172,179],"is":[25,178],"two-fold:":[26],"1)":[27],"to":[28,40,118,153],"provide":[29],"tools":[30],"for":[31,80],"solving":[32],"small":[33],"large-scale":[35],"problems,":[37],"2)":[39],"introduce":[41],"arising":[44],"from":[45,131],"wide":[47],"range":[48],"applications.":[50],"available":[53],"in":[54,128,145],"TRIPs-Py":[55,129,177],"include":[56],"direct":[57],"regularization":[58,70,121],"methods":[59,76,165],"(such":[60,72],"as":[61,73,157,159],"truncated":[62],"singular":[63],"value":[64],"decomposition":[65],"Tikhonov)":[67],"iterative":[69],"techniques":[71],"Krylov":[74],"subspace":[75],"recent":[78],"$$\\ell":[81,91],"_p$$":[82],"<mml:math":[83,93],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[84,94],"<mml:msub>":[85,95],"<mml:mi>\u2113</mml:mi>":[86,96],"<mml:mi>p</mml:mi>":[87],"</mml:msub>":[88,98],"</mml:math>":[89,99],"-":[90],"_q$$":[92],"<mml:mi>q</mml:mi>":[97],"formulations,":[100],"which":[101,187],"enforce":[102],"sparse":[103],"or":[104],"edge-preserving":[105],"solutions":[106],"handle":[108],"different":[109],"noise":[110],"types).":[111],"All":[112],"our":[113,175],"have":[115],"built-in":[116],"strategies":[117],"define":[119],"parameter(s).":[122],"Some":[123],"arise":[130],"simulated":[132],"image":[133],"deblurring":[134],"computerized":[136,147],"tomography,":[137],"while":[138],"other":[139],"model":[142],"real":[143],"dynamic":[146],"tomography.":[148],"Numerical":[149],"examples":[150],"are":[151],"included":[152],"illustrate":[154],"usage":[156],"well":[158],"performance":[161],"described":[164],"on":[166],"provided":[168],"To":[171],"best":[173],"knowledge,":[176],"first":[180],"software":[182],"kind,":[186],"may":[188],"serve":[189],"both":[190],"research":[191],"didactical":[193],"purposes.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
