用低次叠样条函数逼近导函数

本文讨论了用低次样条函数的叠样条来逼近导函数的问题.给出了叠样条的构造、误差分析及余项的逐项渐进展开式.     

拟Hermite插值对解析函数类的逼近误差

在最大框架下研究基于第二类Tchebyshev节点组的拟Hermite插值算子和Hermite插值算子对一个解析函数类的逼近误差.对于一致范数,我们得到了相应量的精确值.对于L_p-范数(1≤p∞),我们得到了相应量的值或强渐近阶.     

用平移网络逼近函数及其导数

若Х（ｘ）∈Ｗ１Ｍ（Ｒ＾ｄ）,利用Х构造出具体的平移网络逼近Ｓｏｂｏｌｅｖ空间中的函数并给出逼近阶的估计。     

具有Gauss测度的Sobolev空间上的函数逼近

本文讨论了具有Gauss测度的Sobolev空间上的一元周期函数被三角多项式子空间的最佳逼近及被Fourier部分和算子,Vallée—Poussin算子,Ceshxo算子,Abel算子和Jackson算子的逼近,得到了平均误差估计．证明了在平均框架下,在Lq（1≤q〈∞）空间尺度下三角多项式子空间是渐进最优的子空间,但是在L∞空间尺度下,三角多项式子空间不是渐进最优的子空间．还证明了,Fourier部分和算子和Vallée-Poussin算子在Lq（1≤q≤∞）空间尺度下是渐进最优的线性算子．注意到在平均框架以及Lq（1≤q〈∞）空间尺度下,渐进最优的线性算子,如Fourier部分和算子及Vallée—Poussin算子,与最优的非线性算子的逼近效果一样好．     

用叠二次样条插值逼近导函数

在第一种边界条件下,我们证明了二重、三重、四重叠二次样条插值以h_2的精度分别逼近光滑函数的一阶、二阶、三阶导数,并说明对适当提出的边界条件.叠二次样条插值可以在h_2的精度范围内逼近光滑函数的其它阶导数.     

多元多项式样条在L-p(R+d)度下的极值性质

构造了一类连续的多项式样条算子来代替常用的多元Cardinal多项式样条插值算子作为 Rd上多元函数的逼近工具, 得到了这种样条算子的逼近误差, 由此结果, 得到多元多项式样条空间是一些 Rd上的Sobolev光滑函数类在Lp范数下的Kolmogorov 宽度及线性宽度的弱渐近极子空间.     

一类二元样条的误差估计

本文通过揭示一元样条与二元样条的本质联系和构造两种局部区域上的插值函数,从而改进了[1]中S_2~1(△_(mn)~(2))上插值的误差估计结果。     

Hermite型多元样本定理及Sobolev类上混淆误差的估计

本文证明了Hermite型多元样本定理,并由此确定了Sobolev类上混淆误差阶的精确估计.     

某些函数类在L^p空间的精确逼近阶

本文考虑某些函数类在L~P尺度下的精确逼近阶问题.这是S.Bernstein,S.Nikol'ski和M.Hasson的一系列研究的继续和推广,作为特例,本文主要结果的应用包含了B.K.最近的工作.     

Approximation of Sobolev classes by polynomials and ridge functions

Let be the usual Sobolev class of functions on the unit ball in , and be the subclass of all radial functions in . We show that for the classes and , the orders of best approximation by polynomials in coincide. We also obtain exact orders of best approximation in of the classes by ridge functions and, as an immediate consequence, we obtain the same orders in for the usual Sobolev classes .     

复变量移动最小二乘近似在Sobolev空间中的误差估计

复变量移动最小二乘近似是形成无网格法形函数的重要方法,为了研究相应的无网格方法的误差估计,需要先分析复变量移动最小二乘近似的逼近误差.首先介绍了复变量移动最小二乘近似,接着在权函数满足一定假设的条件下,详细讨论了复变量移动最小二乘近似逼近函数在Sobolev空间中的误差估计,给出了逼近函数在Hk范数下的误差界,分析结果表明逼近函数的误差随着节点间距的减小而降低.最后给出了一个数值算例来验证理论分析的正确性.     

Optimal query error of quantum approximation on some Sobolev classes

We study the approximation of the imbedding of functions from anisotropic and general-ized Sobolev classes into Lq([0,1]d) space in the quantum model of computation. Based on the quantum algorithms for approximation of finite imbedding from LpN to LNq , we develop quantum algorithms for approximating the imbedding from anisotropic Sobolev classes B(Wpr ([0,1]d)) to Lq([0,1]d) space for all 1 q,p ∞ and prove their optimality. Our results show that for p < q the quantum model of computation can bring a speedup roughly up to a squaring of the rate in the classical deterministic and randomized settings.     

各向异性Sobolev及Besov类的平均单边宽度

给出了各向异性Sobolev类及各向异性Besov类的平均单边宽度,获得了相应的弱渐近估计.     

Approximation of Smooth Functions on the Semiaxis by Entire Functions of Bounded Half-Degree

In this paper, we study the pointwise approximation of functions defined on the real semiaxis and having an rth derivative bounded almost everywhere. The approximation is performed by means of entire functions of bounded half-degree, which were introduced by S. N. Bernstein. An asymptotically sharp estimate for pointwise approximation of this class of functions is obtained.     

Approximation by polynomials and smooth functions in Sobolev spaces with respect to measures

The density of polynomials is straightforward to prove in Sobolev spaces W^k,p((a,b)), but there exist only partial results in weighted Sobolev spaces; here we improve some of these theorems. The situation is more complicated in infinite intervals, even for weighted L^p spaces; besides, in the present paper we have proved some other results for weighted Sobolev spaces in infinite intervals.     

Approximation to the Sobolev classesW q r of functions of several variables by bilinear forms inL p for 2≤q≤p≤∞

We study the approximation of functions of several variables by bilinear forms that are the pairwise products of functions of fewer variables. The order of approximation of Sobolev classesW _q ^r by bilinear forms inL _p for 2≤q≤p≤∞ is found. Translated by N. K. Kulman Translated fromMatematicheskie Zametki, Vol. 62, No. 1, pp. 18–34, July, 1997.     

The Order of Best Approximation in Some Classes of Functions

Starting from the equivalence between the Ditzian–Totik modulus and , where , in this article large classes of functions are introduced for which the modulus can be easily calculated. As a consequence, very good estimates for the bestapproximation are obtained. The attempts to estimate or calculate themodulus can be a very intricateproblem.     

Constructive Approximation by Superposition of Sigmoidal Functions

In this paper, a constructive theory is developed for approximating functions of one or more variables by superposition of sigmoidal functions. This is done in the uniform norm as well as in the $L^p$ norm. Results for the simultaneous approximation, with the same order of accuracy, of a function and its derivatives (whenever these exist), are obtained. The relation with neural networks and radial basis functions approximations is discussed. Numerical examples are given for the purpose of illustration.     

Singular Measures and (1,p)-Capacity on Weighted Sobolev Classes

Conditions are studied under which the contribution of the singular part of a measure to the (1,p)-capacity of an arbitrary condenser is zero.