Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38155
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dc.contributor.authorConti, Costanzaen_UK
dc.contributor.authorCuyt, Annieen_UK
dc.contributor.authorLee, Wen-shinen_UK
dc.date.accessioned2026-06-10T00:09:28Z-
dc.date.available2026-06-10T00:09:28Z-
dc.date.issued2026-05-25en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38155-
dc.description.abstractWe consider several small-size Prony-like separable least squares interpolation problems in exponential, polynomial and mixed data fitting schemes, for which the variable projection objective function can easily be written down in closed form. An alternative formulation of variable projection is then applied to the closed form expression, yielding explicit formulas for the unknown parameters. The technique is especially useful in various exponential type spline generalizations where the free frequency parameter is otherwise mostly determined by trial and error.en_UK
dc.language.isoenen_UK
dc.publisherBMCen_UK
dc.relationConti C, Cuyt A & Lee W (2026) An alternative variable projection formulation for small-size separable models. <i>Numerical Algorithms</i>. https://doi.org/10.1007/s11075-025-02307-2en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectNon-polynomial splinesen_UK
dc.subjectExponential splinesen_UK
dc.subjectParameter selectionen_UK
dc.subjectSubdivision schemeen_UK
dc.subjectProny problemen_UK
dc.subjectVariable projectionen_UK
dc.titleAn alternative variable projection formulation for small-size separable modelsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1007/s11075-025-02307-2en_UK
dc.citation.jtitleNumerical Algorithmsen_UK
dc.citation.issn1572-9265en_UK
dc.citation.issn1017-1398en_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Commission (Horizon 2020)en_UK
dc.author.emailwen-shin.lee@stir.ac.uken_UK
dc.citation.date25/05/2026en_UK
dc.description.notesRESEARCH Numerical Algorithmsen_UK
dc.contributor.affiliationUniversity of Florenceen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.identifier.isiWOS:001775394600001en_UK
dc.identifier.scopusid105039983588en_UK
dc.identifier.wtid2264970en_UK
dc.contributor.orcid0000-0002-2808-3739en_UK
dc.date.accepted2025-12-26en_UK
dcterms.dateAccepted2025-12-26en_UK
dc.date.filedepositdate2026-05-25en_UK
dc.relation.funderprojectEXPOWER: EXPOnential Analysis EmPOWERing Innovationen_UK
dc.relation.funderrefGrant Agreement-101008231en_UK
dc.subject.tagMathematical Analysisen_UK
dc.subject.tagModellingen_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorConti, Costanza|en_UK
local.rioxx.authorCuyt, Annie|en_UK
local.rioxx.authorLee, Wen-shin|0000-0002-2808-3739en_UK
local.rioxx.projectGrant Agreement-101008231|European Commission (Horizon 2020)|en_UK
local.rioxx.freetoreaddate2026-06-04en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-06-04|en_UK
local.rioxx.filenames11075-025-02307-2.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1572-9265en_UK
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