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北京石油化工学院2026年研究生招生接收调剂公告
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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.
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