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Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations
Joint Authors
Jiao, Hongwei
Liu, San-Yang
Huang, Yuan-Yuan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, San-Yang& Huang, Yuan-Yuan& Jiao, Hongwei. 2014. Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1013677
Modern Language Association (MLA)
Liu, San-Yang…[et al.]. Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations. Abstract and Applied Analysis No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1013677
American Medical Association (AMA)
Liu, San-Yang& Huang, Yuan-Yuan& Jiao, Hongwei. Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1013677
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013677