A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations
The conjugate gradient projection method is one of the most effective methods for solving large-scale monotone nonlinear equations with convex constraints. In this paper, a new conjugate parameter is designed to generate the search direction, and an adaptive line search strategy is improved to yield...
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Main Authors: | Pengjie Liu, Jinbao Jian, Xianzhen Jiang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8323865 |
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