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Tree wavelet approximations with applications
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作者 XU Yuesheng & ZOU Qingsong Department of Mathematics, Syracuse University, Syracuse, NY 13244, USA Institute of Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing 100080, China Department of Scientific Computing and Computer Science, Zhongshan University, Guangzhou 510275, China 《Science China Mathematics》 SCIE 2005年第5期680-702,共23页
We construct a tree wavelet approximation by using a constructive greedy scheme(CGS). We define a function class which contains the functions whose piecewise polynomial approximations generated by the CGS have a presc... We construct a tree wavelet approximation by using a constructive greedy scheme(CGS). We define a function class which contains the functions whose piecewise polynomial approximations generated by the CGS have a prescribed global convergence rate and establish embedding properties of this class. We provide sufficient conditions on a tree index set and on bi-orthogonal wavelet bases which ensure optimal order of convergence for the wavelet approximations encoded on the tree index set using the bi-orthogonal wavelet bases. We then show that if we use the tree index set associated with the partition generated by the CGS to encode a wavelet approximation, it gives optimal order of convergence. 展开更多
关键词 greedy algorithms tree wavelet approximations Besov spaces.
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MULTIVARIATE PROBABILISTIC APPROXIMATION IN WAVELET STRUCTURE
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作者 余祥明 《Analysis in Theory and Applications》 1992年第4期17-27,共11页
Let otherwise and F(x,y).be a continuous distribution function on R^2. Then there exist linear wavelet operators L_n(F,x,y)which are also distribution function and where the defining them mother wavelet is(x,y).These ... Let otherwise and F(x,y).be a continuous distribution function on R^2. Then there exist linear wavelet operators L_n(F,x,y)which are also distribution function and where the defining them mother wavelet is(x,y).These approximate F(x,y)in the supnorm.The degree of this approximation is estimated by establishing a Jackson type inequality.Furthermore we give generalizations for the case of a mother wavelet ≠,which is just any distribution function on R^2,also we extend these results in R^r,r>2. 展开更多
关键词 MULTIVARIATE PROBABILISTIC approximation IN wavelet STRUCTURE
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ON THE DEGREE OF APPROXIMATION BY WAVELET EXPANSIONS 被引量:15
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作者 Sun Xiehua (China Institute of Metrology, China) 《Analysis in Theory and Applications》 1998年第1期81-90,共0页
In this paper we estimate the degree of approximation of wavelet expansions. Our result shows that the degree has the exponential decay for function f(x)∈L2 continuous in a finite interval (a, b) which is much superi... In this paper we estimate the degree of approximation of wavelet expansions. Our result shows that the degree has the exponential decay for function f(x)∈L2 continuous in a finite interval (a, b) which is much superior to those of approximation by polynomial operators and by expansions of classical orthogonal series. 展开更多
关键词 ON THE DEGREE OF approximation BY wavelet EXPANSIONS
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WAVELET APPROXIMATE INERTIAL MANIFOLD AND NUMERICAL SOLUTION OF BURGERS' EQUATION
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作者 田立新 许伯强 刘曾荣 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2002年第10期1140-1152,共13页
The existence of approximate inertial manifold Using wavelet to Burgers' equation, and numerical solution under multiresolution analysis with the low modes were studied. It is shown that the Burgers' equation ... The existence of approximate inertial manifold Using wavelet to Burgers' equation, and numerical solution under multiresolution analysis with the low modes were studied. It is shown that the Burgers' equation has a good localization property of the numerical solution distinguishably. 展开更多
关键词 wavelet wavelet approximate inertial manifold (WAIM) wavelet Galerkin solution infinite dimensional dynamic system
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Solving two-dimensional Volterra-Fredholm integral equations of the second kind by using Bernstein polynomials 被引量:1
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作者 M.Sh.Dahaghin Sh.Eskandari 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第1期68-78,共11页
In this paper, we present a numerical method for solving two-dimensional VolterraFredholm integral equations of the second kind(2DV-FK2). Our method is based on approximating unknown function with Bernstein polynomi... In this paper, we present a numerical method for solving two-dimensional VolterraFredholm integral equations of the second kind(2DV-FK2). Our method is based on approximating unknown function with Bernstein polynomials. We obtain an error bound for this method and employ the method on some numerical tests to show the efficiency of the method. 展开更多
关键词 Volterra approximating approximate variational proof iterative uniformly exact wavelet inequality
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SPECTRAL APPROXIMATION ORDERS OF MULTIDIMENSIONAL NONSTATIONARY BIORTHOGONAL SEMI-MULTIRESOLUTION ANALYSIS IN SOBOLEV SPACE
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作者 Wen-sheng Chen Chen Xu Wei Lin 《Journal of Computational Mathematics》 SCIE EI CSCD 2006年第1期81-90,共10页
Subdivision algorithm (Stationary or Non-stationary) is one of the most active and exciting research topics in wavelet analysis and applied mathematical theory. In multidimensional non-stationary situation, its limi... Subdivision algorithm (Stationary or Non-stationary) is one of the most active and exciting research topics in wavelet analysis and applied mathematical theory. In multidimensional non-stationary situation, its limit functions are both compactly supported and infinitely differentiable. Also, these limit functions can serve as the scaling functions to generate the multidimensional non-stationary orthogonal or biorthogonal semi-multiresolution analysis (Semi-MRAs). The spectral approximation property of multidimensional non-stationary biorthogonal Semi-MRAs is considered in this paper. Based on nonstationary subdivision scheme and its limit scaling functions, it is shown that the multidimensional nonstationary biorthogonal Semi-MRAs have spectral approximation order r in Sobolev space H^s(R^d), for all r ≥ s ≥ 0. 展开更多
关键词 Nonstationary subdivision algorithm Biorthogonal Semi-MRAs wavelets Spectral approximation Sobolev space
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