|
|
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
xinren08: 金币+20, ★★★★★最佳答案, 谢谢了！ 2015-12-23 12:51:26
心静_依然: LS-EPI+1, 感谢应助 2015-12-23 14:24:01
Accession number:
20154201388982
Title: A two-term fletcher-reeves conjugate gradient method for monotone constrained equations and its application in compressive sensing
Authors: Sun, Xiaoli1 Email author xiaolisunzaozhuang@126.com
Author affiliation: 1 School of Mathematics and Statistics, Zaozhuang University, No. 1, Beian Road, Zaozhuang, China
Corresponding author: Sun, Xiaoli
Source title: ICIC Express Letters
Abbreviated source title: ICIC Express Lett.
Volume: 9
Issue: 11
Issue date: November 1, 2015
Publication year: 2015
Pages: 2987-2992
Language: English
ISSN: 1881803X
Document type: Journal article (JA)
Publisher: ICIC Express Letters Office
Abstract: In this paper, a two-term Fletcher-Reeves conjugate gradient method is proposed for monotone constrained equations, which combines a recently modified Fletcher- Reeves (FR) conjugate gradient method and the famous projection method. A prominent character of the method is that it is globally convergent without requiring the restart procedure, which maybe enhance its efficiency. The numerical results reported in this paper illustrate that the proposed method is efficient for compressive sensing. © 2015 ICIC International.
Number of references: 11
Main heading: Conjugate gradient method
Controlled terms: Compressed sensing - Numerical methods - Signal reconstruction
Uncontrolled terms: Compressive sensing - Global conver-gence - Globally convergent - ITS applications - Its efficiencies - Monotone constrained equations - Numerical results - Projection method
Classification code: 716.1 Information Theory and Signal Processing - 921 Mathematics - 921.6 Numerical Methods
Database: Compendex
Compilation and indexing terms, © 2015 Elsevier Inc. |
|
回复此楼