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xinren08铁杆木虫 (知名作家)
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请帮忙查一下下面的文章是否被EI收录,谢谢了!
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文章名:A Two-Term Fletcher-Reeves Conjugate Gradient Method for Monotone Constrained Equations and Its Application in Compressive Sensing 作者:Xiaoli Sun 杂志:ICIC Express Letters 期卷:Volume 9, Issue 11, November 2015 |
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baiyuefei
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xinren08: 金币+20, ★★★★★最佳答案, 谢谢了! 2015-12-23 12:51:26
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xinren08: 金币+20, ★★★★★最佳答案, 谢谢了! 2015-12-23 12:51:26
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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. |
2楼2015-12-23 12:41:08
baiyuefei
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