The differentiation matrices of unknown function are constructed by using barycentric rational interpolation.
采用重心有理插值近似未知函数，得到未知函数的各阶微分矩阵。
In this paper, the important Salzer's theorem for rational interpolation is generalized to the multivariate vector valued case.
本文将在切触有理插值中起重要作用的Salzer定理推广到了多元向量的情形。
Enlighened by the superposed algorithm of two element polynomial interpolation, we present a simple method of finding rational interpolation functions.
受二元多项式插值的迭加算法的启发，给出一种简便的求有理插值函数的方法，同时通过实例进行验证。
So the adaptive rational function interpolation method can process a large number of sampling data for obtaining a rational interpolation without suffering singularity problems.
因此，本文提出的自适应有理函数插值方法可以对大量采样数据进行插值运算而不会遇到奇异性问题。
This paper puts forward the theorem dealing with the necessary and sufficient condition of the regular solution to the rational interpolation. The theorem is simple to prove and convenient to use.
本文给出了关于有理插值正则解的充要条件的一个定理，其证明是简单的，作为判别法则使用亦是方便的。
This paper puts forward the theorem dealing with the necessary and sufficient condition of the regular solution to the rational interpolation. The theorem is simple to prove and convenient to use.
本文给出了关于有理插值正则解的充要条件的一个定理，其证明是简单的，作为判别法则使用亦是方便的。
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