We 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.

An alternative variable projection formulation for small-size separable models / Conti C., Cuyt A., Lee W.-S.. - In: NUMERICAL ALGORITHMS. - ISSN 1017-1398. - STAMPA. - 477:(2026), pp. 1-29. [10.1007/s11075-025-02307-2]

An alternative variable projection formulation for small-size separable models

Conti C.
;
2026

Abstract

We 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.
2026
477
1
29
Conti C.; Cuyt A.; Lee W.-S.
File in questo prodotto:
File Dimensione Formato  
Conti_et_al-2026-Numerical_Algorithms.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 4.73 MB
Formato Adobe PDF
4.73 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1501293
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact