A review of two different methods for the estimation of water footprint of crops
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Publication Details
Author list: Farooq N., Gheewala S.H.
Publisher: MDPI
Publication year: 2019
Journal: Mathematics (2227-7390)
Volume number: 68
Issue number: 8
Start page: 85
End page: 90
Number of pages: 6
ISSN: 2227-7390
eISSN: 2227-7390
Languages: English-Great Britain (EN-GB)
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Abstract
In this article, we propose a modified self-adaptive conjugate gradient algorithm for handling nonlinear monotone equations with the constraints being convex. Under some nice conditions, the global convergence of the method was established. Numerical examples reported show that the method is promising and efficient for solving monotone nonlinear equations. In addition, we applied the proposed algorithm to solve sparse signal reconstruction problems. ฉ 2019 by the authors.
Keywords
Conjugate gradient method, Convex constraints, Non-linear equations, Projection method, Signal reconstruction problem
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