Affine iterations and wrapping effect various approaches /

Affine iterations of the form x(n+1)=Ax(n)+b converge, using real arithmetic, if the spectral radius of the matrix A is less than 1. However, substituting interval arithmetic to real arithmetic may lead to divergence of these iterations, in particular if the spectral radius of the absolute value of...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerző: Revol Nathalie
Dokumentumtípus: Cikk
Megjelent: University of Szeged, Institute of Informatics Szeged 2023
Sorozat:Acta cybernetica 26 No. 1
Kulcsszavak:Intervallum analízis, Numerikus analízis, Affine iterációk
Tárgyszavak:
doi:10.14232/actacyb.295251

Online Access:http://acta.bibl.u-szeged.hu/86969
Leíró adatok
Tartalmi kivonat:Affine iterations of the form x(n+1)=Ax(n)+b converge, using real arithmetic, if the spectral radius of the matrix A is less than 1. However, substituting interval arithmetic to real arithmetic may lead to divergence of these iterations, in particular if the spectral radius of the absolute value of A is greater than 1. We will review  different approaches to limit the overestimation of the iterates, when the components of the initial vector x(0) and b are intervals. We will compare, both theoretically and experimentally, the widths of the iterates computed by these different methods: the naive iteration, methods based on the QR- and SVD-factorization of A, and Lohner's QR-factorization method. The method  based on the SVD-factorization is computationally less demanding and gives good results when the matrix is poorly scaled, it is superseded either by the naive iteration or by Lohner's method otherwise.
Terjedelem/Fizikai jellemzők:129-147
ISSN:2676-993X