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arXiv 1801.09282math.NAcs.NA
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谱保形逼近

Spectral Shape Preserving Approximation

Vladimir S. Chelyshkov

摘要:

给出了区间[0,1]上交替正交多项式联合逼近函数及其一阶导数的一种算法,该算法具有保形逼近的性质.提出了一种弱近似公式。给出了保形外推的一个例子。弱形式约化为一个离散集上的近似的一个离散集上的一个离散集上。此外,我们引入了一个新的正交函数系具有良好的性能-结构正交多项式-并表明,该系统可以用于不同类型的联合逼近的函数及其一阶导数,并可能具有保形逼近的属性。此外,我们还证明了结构正交多项式生成小波函数。我们用结构半正交多项式的定义来补充这些结果,并引入小波基函数。

英文摘要:

We introduce an algorithm of joint approximation of a function and its first derivative by alternative orthogonal polynomials on the interval [0,1].The algorithm exhibits properties of shape preserving approximation for the function. A weak formulation of approximation is presented. An example on shape preserving extrapolation is given. The weak form is reduced for approximation on a discrete set of abscissas. Also, we introduce a new system of orthogonal functions with nice properties - structured orthogonal polynomials - and show that the system can be employed for a different kind of joint approximation of a function and its first derivative and may have property of shape preserving approximation. In addition, we show that structured orthogonal polynomials generate wavelet functions We complement these results with definition of structured semi-orthogonal polynomials and introduce wavelet basis functions.

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