Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations

Two unified frameworks of some sufficient descent conjugate gradient methods are considered. Combined with the hyperplane projection method of Solodov and Svaiter, they are extended to solve convex constrained nonlinear monotone equations. Their global convergence is proven under some mild condition...

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Main Authors: San-Yang Liu, Yuan-Yuan Huang, Hong-Wei Jiao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/305643
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author San-Yang Liu
Yuan-Yuan Huang
Hong-Wei Jiao
author_facet San-Yang Liu
Yuan-Yuan Huang
Hong-Wei Jiao
author_sort San-Yang Liu
collection DOAJ
description Two unified frameworks of some sufficient descent conjugate gradient methods are considered. Combined with the hyperplane projection method of Solodov and Svaiter, they are extended to solve convex constrained nonlinear monotone equations. Their global convergence is proven under some mild conditions. Numerical results illustrate that these methods are efficient and can be applied to solve large-scale nonsmooth equations.
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publishDate 2014-01-01
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series Abstract and Applied Analysis
spelling doaj-art-1dca48e86a3042a5864dba6ccde651fe2025-08-20T02:01:39ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/305643305643Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone EquationsSan-Yang Liu0Yuan-Yuan Huang1Hong-Wei Jiao2School of Mathematics and Statistics, Xidian University, Xi’an 710071, ChinaSchool of Mathematics and Statistics, Xidian University, Xi’an 710071, ChinaSchool of Mathematics and Statistics, Xidian University, Xi’an 710071, ChinaTwo unified frameworks of some sufficient descent conjugate gradient methods are considered. Combined with the hyperplane projection method of Solodov and Svaiter, they are extended to solve convex constrained nonlinear monotone equations. Their global convergence is proven under some mild conditions. Numerical results illustrate that these methods are efficient and can be applied to solve large-scale nonsmooth equations.http://dx.doi.org/10.1155/2014/305643
spellingShingle San-Yang Liu
Yuan-Yuan Huang
Hong-Wei Jiao
Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
Abstract and Applied Analysis
title Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
title_full Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
title_fullStr Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
title_full_unstemmed Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
title_short Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
title_sort sufficient descent conjugate gradient methods for solving convex constrained nonlinear monotone equations
url http://dx.doi.org/10.1155/2014/305643
work_keys_str_mv AT sanyangliu sufficientdescentconjugategradientmethodsforsolvingconvexconstrainednonlinearmonotoneequations
AT yuanyuanhuang sufficientdescentconjugategradientmethodsforsolvingconvexconstrainednonlinearmonotoneequations
AT hongweijiao sufficientdescentconjugategradientmethodsforsolvingconvexconstrainednonlinearmonotoneequations