The numerical solution of partial differential equations involves the computation of integrals of products of given functions and (derivatives of) trial and test functions. We study this problem using adaptively chosen wavelet bases. Firstly, we reduce this problem to the computation of 1--dimensional integrals. Then, we consider appropriate adaptive approximations and study the induced error. Finally, we present an algorithm for computing these integrals and give numerical results. ? This paper was written when the third author was in residence at the Istituto di Analisi Numerica del C.N.R. in Pavia, Italy. This work was supported by the European Commission within the TMR project (Training and Mobility for Researchers) Wavelets and Multis...
The present article is concerned with the numerical solution of boundary integral equations by an ad...
This paper is concerned with the construction and analysis of wavelet-based adaptive algorithms for ...
In [Math. Comp, 70 (2001), 27-75] and [Found. Comput. Math., 2(3) (2002), 203-245], Cohen, Dahmen an...
Published in April 1999Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7,...
Adaptive mesh re nement techniques are nowadays an established and powerful tool for the numerical ...
Wavelet expansions are a powerful tool for constructing adaptive approximations. For this reason, th...
This chapter highlights recent developments concerning adaptive wavelet methods for time dependent a...
This paper is concerned with the efficient evaluation of nonlinear expressions of wavelet expansions...
An adaptive numerical method for solving partial differential equations is devel-oped. The method is...
International audienceOne key step in solving partial differential equations using adaptive wavelet ...
In recent years, wavelets have found their way into many different fields of science and engineerin...
AbstractThis paper is concerned with recent developments of wavelet schemes for the numerical treatm...
Abstract. With respect to a wavelet basis, singular integral operators can be well approximated by s...
Wavelet expansions have drawn a lot of attention in recent decades. Wavelets originate from signal a...
We use the algorithm of Bertoluzza, Canuto and Urban for computing integrals of products (of derivat...
The present article is concerned with the numerical solution of boundary integral equations by an ad...
This paper is concerned with the construction and analysis of wavelet-based adaptive algorithms for ...
In [Math. Comp, 70 (2001), 27-75] and [Found. Comput. Math., 2(3) (2002), 203-245], Cohen, Dahmen an...
Published in April 1999Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7,...
Adaptive mesh re nement techniques are nowadays an established and powerful tool for the numerical ...
Wavelet expansions are a powerful tool for constructing adaptive approximations. For this reason, th...
This chapter highlights recent developments concerning adaptive wavelet methods for time dependent a...
This paper is concerned with the efficient evaluation of nonlinear expressions of wavelet expansions...
An adaptive numerical method for solving partial differential equations is devel-oped. The method is...
International audienceOne key step in solving partial differential equations using adaptive wavelet ...
In recent years, wavelets have found their way into many different fields of science and engineerin...
AbstractThis paper is concerned with recent developments of wavelet schemes for the numerical treatm...
Abstract. With respect to a wavelet basis, singular integral operators can be well approximated by s...
Wavelet expansions have drawn a lot of attention in recent decades. Wavelets originate from signal a...
We use the algorithm of Bertoluzza, Canuto and Urban for computing integrals of products (of derivat...
The present article is concerned with the numerical solution of boundary integral equations by an ad...
This paper is concerned with the construction and analysis of wavelet-based adaptive algorithms for ...
In [Math. Comp, 70 (2001), 27-75] and [Found. Comput. Math., 2(3) (2002), 203-245], Cohen, Dahmen an...