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AN AUGMENTED LAGRANGIAN TRUST REGION METHOD WITH A BI-OBJECT STRATEGY 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2018, 卷号: 36, 期号: 3, 页码: 331-350
Authors:  Kou, Caixia;  Chen, Zhongwen;  Dai, Yu-Hong;  Han, Haifei
Favorite  |  View/Download:78/0  |  Submit date:2019/03/05
Nonlinear constrained optimization  Augmented Lagrangian function  Bi-object strategy  Global convergence  
A new family of trust region algorithms for unconstrained optimization 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2003, 卷号: 21, 期号: 2, 页码: 221-228
Authors:  Dai, YH;  Xu, DX
Favorite  |  View/Download:40/0  |  Submit date:2018/07/30
trust region method  global convergence  quasi-Newton method  unconstrained optimization  nonlinear programming  
A note on the nonlinear conjugate gradient method 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2002, 卷号: 20, 期号: 6, 页码: 575-582
Authors:  Dai, YH;  Yuan, YX
Favorite  |  View/Download:58/0  |  Submit date:2018/07/30
unconstrained optimization  conjugate gradient  line search  global convergence  
Convergence of nonlinear conjugate gradient methods 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2001, 卷号: 19, 期号: 5, 页码: 539-548
Authors:  Dai, YH
Favorite  |  View/Download:17/0  |  Submit date:2018/07/30
unconstrained optimization  conjugate gradient  (generalized) line search  global convergence