Transient analysis of the Euclidean Direction Search (EDS) algorithm

Zhongkai Zhang, Tamal Bose, Jacob Gunther

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean Direction Search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Pages1554-1558
Number of pages5
Volume2
StatePublished - 2004
Externally publishedYes
EventConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 7 2004Nov 10 2004

Other

OtherConference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/7/0411/10/04

Fingerprint

Transient analysis
Adaptive algorithms
Energy conservation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zhang, Z., Bose, T., & Gunther, J. (2004). Transient analysis of the Euclidean Direction Search (EDS) algorithm. In M. B. Matthews (Ed.), Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2, pp. 1554-1558)

Transient analysis of the Euclidean Direction Search (EDS) algorithm. / Zhang, Zhongkai; Bose, Tamal; Gunther, Jacob.

Conference Record - Asilomar Conference on Signals, Systems and Computers. ed. / M.B. Matthews. Vol. 2 2004. p. 1554-1558.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z, Bose, T & Gunther, J 2004, Transient analysis of the Euclidean Direction Search (EDS) algorithm. in MB Matthews (ed.), Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 2, pp. 1554-1558, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 11/7/04.
Zhang Z, Bose T, Gunther J. Transient analysis of the Euclidean Direction Search (EDS) algorithm. In Matthews MB, editor, Conference Record - Asilomar Conference on Signals, Systems and Computers. Vol. 2. 2004. p. 1554-1558
Zhang, Zhongkai ; Bose, Tamal ; Gunther, Jacob. / Transient analysis of the Euclidean Direction Search (EDS) algorithm. Conference Record - Asilomar Conference on Signals, Systems and Computers. editor / M.B. Matthews. Vol. 2 2004. pp. 1554-1558
@inproceedings{7457939415b04c88a1e51ca1543947a8,
title = "Transient analysis of the Euclidean Direction Search (EDS) algorithm",
abstract = "In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean Direction Search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.",
author = "Zhongkai Zhang and Tamal Bose and Jacob Gunther",
year = "2004",
language = "English (US)",
volume = "2",
pages = "1554--1558",
editor = "M.B. Matthews",
booktitle = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

}

TY - GEN

T1 - Transient analysis of the Euclidean Direction Search (EDS) algorithm

AU - Zhang, Zhongkai

AU - Bose, Tamal

AU - Gunther, Jacob

PY - 2004

Y1 - 2004

N2 - In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean Direction Search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.

AB - In this paper, a transient analysis is performed for a least squares based adaptive algorithm, Euclidean Direction Search algorithm. The transient analysis is characterized by derivations of the energy conservation relation and the learning curve equation. The learning curve equation is particularly important because it describes the learning mechanism of the algorithm without an explicit recursion for the weight vector.

UR - http://www.scopus.com/inward/record.url?scp=21644436367&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21644436367&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:21644436367

VL - 2

SP - 1554

EP - 1558

BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

A2 - Matthews, M.B.

ER -