Noise in the complex plane: open problems

被引：2

作者：

Bessis, Daniel ^{[1
]}

Perotti, Luca ^{[1
]}

Vrinceanu, Daniel ^{[1
]}

机构：

[1] Texas So Univ, Dept Phys, Houston, TX 77004 USA

来源：

NUMERICAL ALGORITHMS | 2013年 / 62卷 / 04期

基金：

美国国家科学基金会;

关键词：

Heavy noise data analysis; Pade approximations; Froissart doublets universal statistical properties; Open problems; PADE APPROXIMANTS; CONVERGENCE; TRANSFORM;

D O I：

10.1007/s11075-012-9640-4

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we present a certain number of computer results that require theoretical support in order to acquire a full status.

引用

页码：559 / 569

页数：11

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