灰函数的Neville白化逼近与并行算法设计

Approximate and Parallel Calculation Method Design for Gray Function

将插值问题中著名的Neville方法引入到灰函数的白化过程之中,研究一种介于“充足信息”与“贫信息”之间的一种折衷的函数逼近方法,这种方法不仅将贫信息问题的处理过程程序化,而且还为并行计算提供了一种可行的方案。

By means of the Neville interpolation principle, the method of Approximate and parallel calculation for gray function抯 generating function be researched. It come to a compromise for magnanimous information and poor information problem and it not only successful the procedure for deal the poor information problem, but also provide a method for parallel compute grey founctions generating function.