A Fractional Trust Region Method for Linear Equality Constrained Optimization
A quasi-Newton trust region method with a new fractional model for linearly constrained optimization problems is proposed. We delete linear equality constraints by using null space technique. The fractional trust region subproblem is solved by a simple dogleg method. The global convergence of the pr...
Saved in:
Main Authors: | Honglan Zhu, Qin Ni, Liwei Zhang, Weiwei Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2016/8676709 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Corrigendum to “A Fractional Trust Region Method for Linear Equality Constrained Optimization”
by: Honglan Zhu, et al.
Published: (2017-01-01) -
A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem
by: Hao Zhang, et al.
Published: (2017-01-01) -
Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
by: Ke Su, et al.
Published: (2013-01-01) -
Robust Linear Neural Network for Constrained Quadratic Optimization
by: Zixin Liu, et al.
Published: (2017-01-01) -
A Newton-Like Trust Region Method for Large-Scale Unconstrained Nonconvex Minimization
by: Yang Weiwei, et al.
Published: (2013-01-01)