A projection method for general form linear least-squares problems

Pes F.;Rodriguez G.
2023-01-01

Abstract

One of the possible approaches for the solution of underdetermined linear least-squares problems in general form, for a chosen regularization operator L, projects the problem in the null space of L and in its orthogonal complement. In this paper, we show that the projected problem cannot be solved by the generalized singular value decomposition, and propose some approaches to overcome this issue. Numerical experiments ascertain the stability of the new procedures.
2023
2023
Inglese
145
108780
7
Esperti anonimi
internazionale
scientifica
Inverse problem; Linear least-squares; Regularization operator; Projection method
Goal 4: Quality education
Goal 3: Good health and well-being
Goal 15: Life on land
no
Pes, F.; Rodriguez, G.
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
2
open
File in questo prodotto:
File Dimensione Formato  
regbase23.pdf

accesso aperto

Descrizione: articolo online
Tipologia: versione editoriale
Dimensione 726.81 kB
Formato Adobe PDF
726.81 kB Adobe PDF Visualizza/Apri

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

Questionario e social

Condividi su:
Impostazioni cookie