RECOVERING LINEAR-OPERATORS FROM INACCURATE DATA

被引：3
|
作者：
KACEWICZ, BZ
KOWALSKI, MA
机构：
[1] Institute of Applied Mathematics, University of Warsaw, Warsaw 02097
来源：
JOURNAL OF COMPLEXITY | 1995年 / 11卷 / 02期
关键词：
D O I：
10.1006/jcom.1995.1009
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with approximating linear operators from information contaminated with bounded noise. We derive some upper and lower estimates on the diameter of inaccurate information and compare it to that of exact information. We also point out conditions under which the bounds coincide and yield the diameter exactly. (C) 1995 Academic Press, Inc.
引用
收藏
页码：227 / 239
页数：13
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