In this paper the problem of designing interpolatory subdivision schemes is considered. The idea is to modify a given approximating subdivision scheme just enough to satisfy the interpolation requirement. This leads to the solution of a generalized Bezout polynomial equation possibly involving more than two polynomials. By exploiting the matrix counterpart of this equation it is shown that small-degree solutions can be generally found by inverting an associated structured matrix of Toeplitz-like form. If the approximating scheme is defined in terms of a free parameter, then the inversion can be performed by numeric-symbolic methods.

Solving Bezout-like polynomial equations for the design of interpolatory subdivision schemes / C. Conti; L. Gemignani; L. Romani. - STAMPA. - (2010), pp. 251-256. (Intervento presentato al convegno ISSAC 2010, 25–28 July 2010 tenutosi a Munich, Germany) [10.1145/1837934.1837983].

Solving Bezout-like polynomial equations for the design of interpolatory subdivision schemes

CONTI, COSTANZA;
2010

Abstract

In this paper the problem of designing interpolatory subdivision schemes is considered. The idea is to modify a given approximating subdivision scheme just enough to satisfy the interpolation requirement. This leads to the solution of a generalized Bezout polynomial equation possibly involving more than two polynomials. By exploiting the matrix counterpart of this equation it is shown that small-degree solutions can be generally found by inverting an associated structured matrix of Toeplitz-like form. If the approximating scheme is defined in terms of a free parameter, then the inversion can be performed by numeric-symbolic methods.
2010
ISSAC '10 Proceedings of the 2010 International Symposium on Symbolic and Algebraic Computation
ISSAC 2010, 25–28 July 2010
Munich, Germany
C. Conti; L. Gemignani; L. Romani
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/403349
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