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

Joint Authors

Jiao, Hongwei
Liu, San-Yang
Huang, Yuan-Yuan

Source

Abstract and Applied Analysis

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

Mathematics

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