A review on life cycle assessment of biogas production: Challenges and future perspectives in Malaysia

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Publication Details

Author list: Aziz N.I.H.A., Hanafiah M.M., Gheewala S.H.

Publisher: MDPI

Publication year: 2019

Journal: Mathematics (2227-7390)

Volume number: 122

Start page: 361

End page: 374

Number of pages: 14

ISSN: 2227-7390

eISSN: 2227-7390

URL: https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85070454096&doi=10.3390%2fmath7080693&partnerID=40&md5=50c936e41cba6e2f90d524be55206c9c

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