CONTINUOUS-TIME STOCHASTIC APPROXIMATION UNDER MEASUREMENT ERROR BEING PROCESS OF DEPENDENT INCREMENT

被引：0

作者：

陈翰馥

机构：

[1] Institute of Systems Science and Mathematical Sciences

[2] Academia Sinica

来源：

Acta Mathematica Scientia | 1983年 / 01期

关键词：

CONTINUOUS-TIME STOCHASTIC APPROXIMATION UNDER MEASUREMENT ERROR BEING PROCESS OF DEPENDENT INCREMENT; lim;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

§1 Introduction If the accurate value of a function (·) is available at any point then there are many numerical methods recursively estimating the root of the regression equation (·)=. But the measurement is usually disturbed by random errors. In this case how can the root

引用

页码：57 / 70

页数：14

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