Zobrazeno 1 - 10
of 12
pro vyhledávání: '"ROSSINI, MILVIA FRANCESCA"'
Publikováno v:
Journal of Computational and Applied Mathematics. 267:96-106
We have presented in Bozzini et al. (2011) a procedure in spaces of m-harmonic splines in Rd that starts from a simple generator φ0 and recursively defines generators φ1, φ2,.,φm-1 with corresponding quasi-interpolation operators reproducing poly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::459bde33c9f47606695b5ba7524e4560
https://doi.org/10.1016/j.cam.2014.01.029
https://doi.org/10.1016/j.cam.2014.01.029
Given a diagonal anisotropic expanding matrix $D\in\ZZ^{\di\times\di},$ we show that it is always possible to detect a unimodular matrix $A\in\ZZ^{\di\times\di}$ that satisfies the pseudo-commuting properties \[DA=A^nD.\] In particular when $\di=2$ t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::f2310719d36c4b967efe29d9c3e3ac93
http://hdl.handle.net/10281/158084
http://hdl.handle.net/10281/158084
Autor:
ROSSINI, MILVIA FRANCESCA
In this paper we consider the problem of detecting, from a finite discrete set of points, the curves across which a two-dimensional function is discontinuous. We propose a strategy based on wavelets which allows to discriminate the edge points from p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::ba309a477ed391804879ce9ce41643c7
http://hdl.handle.net/10281/27012
http://hdl.handle.net/10281/27012
In this paper we discuss the problem of detecting the faults and or the gradient faults of a function when scattered and noisy data are given.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::3bfc3cdd30d343b78d3bbdac3470c9d1
http://hdl.handle.net/10281/28768
http://hdl.handle.net/10281/28768
The aim of thepaper is to provide, in any dimensions ,a multiresolution analysis associated witha new family of polyharmonic B-splines, that unlike the elementary B-splines, havea more ``rotational invariant" behavior.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::e139395b740bc69beb064cf11d3f5998
http://hdl.handle.net/10281/11504
http://hdl.handle.net/10281/11504
Autor:
ROSSINI, MILVIA FRANCESCA
In this work we consider the problem of detecting the irregularities of univariate functions from noisy data and its extension to bivariate functions which present lines of points of irregularity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::fb8b08788537f0f8f7539fd7aafe134f
http://hdl.handle.net/10281/17789
http://hdl.handle.net/10281/17789