构造光滑插值修改公式的一种方法

徐利治和杨家新利用反级数关系构造了某些连续型插值公式。本文基于徐和杨的工作,利用数学分析中的一些技巧构造有高阶连续导数的插值公式。 任给一对互反级数变换     

一类广义牛顿插值级数及其应用

本文研究了一类广义牛顿插值级数的特征及收敛性问题,给出了对等距有 理插值、数值积分及二元有理插值的应用。 §1.广义牛顿插值级数的特征 1978年作者之一提出如下一类广义牛顿插值级数:已知某函数f(x)在非负整数点x=0,1,…上的值,则在区间[0, ∞)上有插值级数     

一类多元有理插值公式

应用作者新近建立的Gould-Hsu反演的多变量形式,本文研究一类多元有理插值公式的构造,确定了该类插值级数所表现的函数类,并给出了差分表计算的递归公式。最后作者提出了与适定性相联系的广义Vandermonde行列式的计算问题。     

距离空间中的神经网络插值与逼近

已有的关于插值神经网络的研究大多是在欧氏空间中进行的,但实际应用中的许多问题往往需要用非欧氏尺度进行度量.本文研究一般距离空间中的神经网络插值与逼近问题,即先在距离空间中构造新的插值网络,然后在此基础上构造近似插值网络,最后研究近似插值网络对连续泛函的逼近.     

矩形网格上的Thiele重心型连分式混合有理插值

1引言众所周知,有理插值是非线性逼近的一种重要方法,但由于其复杂性,主要表现在有理插值问题有解是有条件的或者说有理插值问题不是总是有解的.熟知的有理插值格式(包括向量有理插值、矩阵有理插值)函数构造方法,都是假定有理插值问题有解的条件下给出的,为实际应用带来一定的困难.目前,构造有理插值常用方法之一是基于连分式给出的,应用混合方法或分块方     

二维分形插值函数及其小波类型级数表示

本文对一类很广泛的二维分形插值函数进行了研究，给出了分形插值函数连续的充分必要条件和一种构造迭代函数系统使其吸引子是连续函数的方法，并将分形插值函数表示为一个二维小波类型级数，其“母函数”是由迭代函数系统中的位移函数所决定，这种表示方式不仅提供了一种生成分形插值函数有效方法，而且对研究分形插值函数的性质及所描述的物理对象的特性也是十分有意义。     

两个级数求和问题的概率模型

通过构造概率模型,应用概率论与数理统计的方法给出两个特殊级数的求和问题.     

分形插值函数H(o)lder指数估计的一个注记

考虑基于非均匀剖分的分形插值函数(FIFs),通过建立符号级数表示式,获得了分形插值函数Hlder指数估计的一个结果.我们得到的结论要优于已有的估计结果.     

求解非线性中立型延迟微分方程一类线性多步方法的收敛性

本文致力于带有Lagrang插值的一类线性多步法求解非线性中立型延迟微分方程的误差分析.证明了一个p′阶的线性多步方法配上一个q阶的Lagrang插值导致一个minf[p′,q 1]阶的E-(或EB-)收敛的非线性中立型延迟微分方程数值方法.     

切触有理插值新方法

针对传统连分式插值,计算复杂度高,计算过程中分母为零的不可预知性及插值函数不满足某些给定条件,应用不方便等问题,利用已知节点、函数值、导数值,构造两个多项式,分别作为有理插值函数的分子和分母,得出各阶导数条件下切触有理插值的新公式,并给出特殊情形的表达式.若添加适当的参数,可任意降低插值函数次数.该方法计算简洁,应用方便,插值函数的分母在节点处不为零且满足全部插值条件.数值例子验证了新方法的可行性、有效性和实用性.     

BIVARIATE LAGRANGE-TYPE VECTOR VALUED RATIONAL INTERPOLANTS

1. IntroductionWynn [11] proposed a method for rational interpolation of vector-vaued quantities givenon a set of distinct illterpolation points. He used colltinued fractions and generalized inversesfor the reciproca1 of vector-vaued qualltities. McCleod …     

矩形网格上的二元切触有理插值

二元切触有理插值是有理插值的一个重要内容,而降低其函数的次数和解决其函数的存在性是有理插值的一个重要问题.二元切触有理插值算法的可行性大都是有条件的,且计算复杂度较大,有理函数的次数较高.利用二元Hermite（埃米特）插值基函数的方法和二元多项式插值误差性质,构造出了一种二元切触有理插值算法并将其推广到向量值情形.较之其它算法,有理插值函数的次数和计算量较低.最后通过数值实例说明该算法的可行性是无条件的,且计算量低.     

Block Based Bivariate Blending Rational Interpolation via Symmetric Branched Continued Fractions

This paper constructs a new kind of block based bivariate blending rational interpolation via symmetric branched continued fractions. The construction process may be outlined as follows. The first step is to divide the original set of support points into some subsets (blocks). Then construct each block by using symmetric branched continued fraction. Finally assemble these blocks by Newton’s method to shape the whole interpolation scheme. Our new method offers many flexible bivariate blending rational interpolation schemes which include the classical bivariate Newton’s polynomial interpolation and symmetric branched continued fraction interpolation as its special cases. The block based bivariate blending rational interpolation is in fact a kind of tradeoff between the purely linear interpolation and the purely nonlinear interpolation. Finally, numerical examples are given to show the effectiveness of the proposed method.     

一类二元有理插值的存在性问题

利用二元Lagrange插值公式对一类二元有理插值函数的存在性给出了一个判别方法,并在判别出该二元有理插值函数存在时,给出了它的表现公式。此外,对导致二元有理插值函数不存在的不可达点,本文给出了一种处理方法,使之由不可达点变成可达点。文章的最后还给出若干数值例子说明了本方法的有效性.     

二元对角向量值有理插值的算法

首先提出了二元对角向量值有理插值问题,它包括主对角和副对角两种向量值有理插值,并分别给出了主对角线和副对角线上向量值有理插值的两种算法,即直接求系数bi,j的算法和基于Samelson广义逆所定义的特殊初等变换的矩阵算法.然后构造了在预给极点情况下求主对角线和副对角线上向量值有理插值的矩阵算法.最后给出多个数值例子说明上述算法的有效性.     

有理插值中不可达点的研究

通过对一元Thiele型连分式插值和二元Newton-Thiele型混合有理插值中不可达点的分析,给出了一种判断不可达点的方法.而且,对于任意给定的插值条件,通过构造带参数的Thiele型切触插值和二元Newton-Thiele型混合切触有理插值,使得不可达点变成可达点.数值例子也说明了这种方法的有效性.     

构造二元向量值有理插值函数的一种新方法

At present, the methods of constructing vector valued rational interpolation function in rectangular mesh are mainly presented by means of the branched continued fractions. In order to get vector valued rational interpolation function with lower degree and better approximation effect, the paper divides rectangular mesh into pieces by choosing nonnegative integer parameters d1 （0 〈 dl ≤ m） and d2 （0 ≤ d2≤ n）, builds bivariate polynomial vector interpolation for each piece, then combines with them properly. As compared with previous methods, the new method given by this paper is easy to compute and the degree for the interpolants is lower.     

COMPUTATION OF VECTOR VALUED BLENDING RATIONAL INTERPOLANTS

As we know, Newton's interpolation polynomial is based on divided differences which can be calculated recursively by the divided-difference scheme while Thiele 's interpolating continued fractions are geared towards determining a rational function which can also be calculated recursively by so-called inverse differences. In this paper, both Newton's interpolation polynomial and Thiele's interpolating continued fractions are incorporated to yield a kind of bivariate vector valued blending rational interpolants by means of the Samelson inverse. Blending differences are introduced to calculate the blending rational interpolants recursively, algorithm and matrix-valued case are discussed and a numerical example is given to illustrate the efficiency of the algorithm.     

MATRIX ALGORITHMS AND ERROR FORMULA FOR BIVARIATE THIELE-TYPE RECTANGULAR MATRIX VALUED RATIONAL INTERPOLATION

A new method for the construction of bivariate matrix valued rational interpolants (BGIRI) on a rectangular grid is presented in [6]. The rational interpolants are of Thiele-type continued fraction form with scalar denominator. The generalized inverse introduced by [3]is gen-eralized to rectangular matrix case in this paper. An exact error formula for interpolation is ob-tained, which is an extension in matrix form of bivariate scalar and vector valued rational interpola-tion discussed by Siemaszko[l2] and by Gu Chuangqing [7] respectively. By defining row and col-umn-transformation in the sense of the partial inverted differences for matrices, two type matrix algorithms are established to construct corresponding two different BGIRI, which hold for the vec-tor case and the scalar case.     

矩形网格上一类二元有理插值问题

本文首先利用Ｖａｎｄｅｒｍｏｎｄｅ矩阵得到矩形网格上二元多项式插值公式,然后利用该公式建立一类二元有理插值问题的存在性判别准则及有理插值函数的表现公式,并给出数值例子