LINEAR SEARCH FOR A BROWNIAN TARGET MOTION

被引：0

作者：

A.B.El-Rayes

AbdEl-MoneimA.Mohamed

Hamdy M.Abou Gabal

机构：

[1] Military Technical College

[2] Cairo

[3] Egypt

[4] Department of Mathematics

[5] Faculty of Science

[6] Tanta University

[7] Tanta

来源：

ActaMathematicaScientia | 2003年 / 03期

关键词：

Brownian process; expected value; linear search; optimal search plan;

D O I：

暂无

中图分类号：

O211.9 [概率论的应用];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

<正>A target is assumed to move according to a Brownian motion on the real line.The searcher starts from the origin and moves in the two directions from the starting point.The object is to detect the target. The purpose of this paper is to find the conditions underwhich the expected value of the first meeting time of the searcher and the target is finite,

引用

页码：321 / 327

页数：7

共 37 条

[21] Overcoming Probabilistic Faults in Disoriented Linear Search [J].

Georgiou, Konstantinos ;

Giachoudis, Nikos ;

Kranakis, Evangelos .

STRUCTURAL INFORMATION AND COMMUNICATION COMPLEXITY, SIROCCO 2023, 2023, 13892 :520-535

[22] Linear Search by a Pair of Distinct-Speed Robots [J].

Bampas, Evangelos ;

Czyzowicz, Jurek ;

Gasieniec, Leszek ;

Ilcinkas, David ;

Klasing, Ralf ;

Kociumaka, Tomasz ;

Pajak, Dominik .

ALGORITHMICA, 2019, 81 (01) :317-342

[23] Evaluating the Time Efficiency of the Modified Linear Search Algorithm [J].

Balogun, G. B. .

WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2017, VOL I, 2017, :158-164

[24] Linear Search by a Pair of Distinct-Speed Robots [J].

Evangelos Bampas ;

Jurek Czyzowicz ;

Leszek Gąsieniec ;

David Ilcinkas ;

Ralf Klasing ;

Tomasz Kociumaka ;

Dominik Pająk .

Algorithmica, 2019, 81 :317-342

[25] A Rapidly Convergence Algorithm for Linear Search and its Application [J].

Jianliang LiHua Zhu Xianzhong Zhou and Wenjing Song Department of Applied Mathematics Nanjing University of Science and Technology Nanjing China School of Management Science Engineering Nanjing University Nanjing China .

Numerical Mathematics A Journal of Chinese Universities(English Series), 2006, (04) :299-305

[26] Novel linear search for support vector machine parameter selection [J].