Embedding anda prioriwavelet-adaptivity for Dirichlet problems

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Embedding and a priori wavelet-adaptivity for Dirichlet problems

The accuracy of the domain embedding method from [A. Rieder, ModéL Math. Anal Numér. 32 (1998) 405-431] for the solution of Dirichlet problems suffers under a coarse boundary approximation. To overcome this drawback the method is furnished with an a priori (static) strategy for an adaptive approximation space refinement near the boundary. This is done by select ing suitable wavelet subspaces. E...

متن کامل

Hilbert Space Embedding for Dirichlet Process Mixtures

This paper proposes a Hilbert space embedding for Dirichlet Process mixture models via a stick-breaking construction of Sethuraman [6]. Although Bayesian nonparametrics offers a powerful approach to construct a prior that avoids the need to specify the model size/complexity explicitly, an exact inference is often intractable. On the other hand, frequentist approaches such as kernel machines, wh...

متن کامل

A domain embedding method for Dirichlet problems in arbitrary space dimension

An embedding method for the discretizatwn of Dinchlet boundary value problems over gênerai domains in arbitrary space dimension is proposed The main advantage of the method hes in the use of Cartesian coordinates independent of the underlying domain Error estimâtes and aspects of the numencal realization are considered To obtain an efficient solver for the resulting hnear system of équations an...

متن کامل

Domain Embedding and the Dirichlet Problem

In this paper we study domain embedding preconditioners for discrete linear systems approximating the Dirichlet problem associated a second order elliptic equation. We observe that if a mixed finite element discretization is used, then such a preconditioner can be constructed in a straightforward manner from the H(div)–inner product. We also use the H(div)–inner product to construct a new preco...

متن کامل

Wavelet Shrinkage for Correlated Data and Inverse Problems: Adaptivity Results

Johnstone and Silverman (1997) described a level-dependent thresholding method for extracting signals from correlated noise. The thresholds were chosen to minimize a data based unbiased risk criterion. Here we show that in certain asymptotic models encompassing short and long range dependence, these methods are simultaneously asymptotically minimax up to constants over a broad range of Besov cl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: ESAIM: Mathematical Modelling and Numerical Analysis

سال: 2000

ISSN: 0764-583X,1290-3841

DOI: 10.1051/m2an:2000123