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中国科学院数学与系统科学研究院机构知识库
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Source Publication:MATHEMATICS OF COMPUTATION
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A NOVEL AUGMENTED LAGRANGIAN METHOD OF MULTIPLIERS FOR OPTIMIZATION WITH GENERAL INEQUALITY CONSTRAINTS
期刊论文
MATHEMATICS OF COMPUTATION, 2022, 页码: 30
Authors:
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Ya-Kui
;
Sun, Jie
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View/Download:34/0
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Submit date:2023/02/07
Nonlinear programming
inequality-constrained optimization
augmented Lagrangian method of multipliers
strong global convergence
local convergence
A GLOBALLY CONVERGENT PRIMAL-DUAL INTERIOR-POINT RELAXATION METHOD FOR NONLINEAR PROGRAMS
期刊论文
MATHEMATICS OF COMPUTATION, 2020, 卷号: 89, 期号: 323, 页码: 1301-1329
Authors:
Liu, Xin-Wei
;
Dai, Yu-Hong
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View/Download:109/0
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Submit date:2020/09/23
Nonlinear programming
constrained optimization
interior-point method
logarithmic barrier problem
global convergence
GRADIENT-BASED METHOD WITH ACTIVE SET STRATEGY FOR l(1) OPTIMIZATION
期刊论文
MATHEMATICS OF COMPUTATION, 2018, 卷号: 87, 期号: 311, 页码: 1283-1305
Authors:
Cheng, Wanyou
;
Dai, Yu-Hong
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View/Download:109/0
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Submit date:2018/07/30
l(1) minimization
compressive sensing
active set
Barzilai-Borwein method
A SEQUENTIAL UPDATING SCHEME OF THE LAGRANGE MULTIPLIER FOR SEPARABLE CONVEX PROGRAMMING
期刊论文
MATHEMATICS OF COMPUTATION, 2017, 卷号: 86, 期号: 303, 页码: 315-343
Authors:
Dai, Yu-Hong
;
Han, Deren
;
Yuan, Xiaoming
;
Zhang, Wenxing
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View/Download:77/0
  |  
Submit date:2018/07/30
Convex programming
augmented Lagrangian method
splitting method
method of multipliers
image processing
A family of hybrid conjugate gradient methods for unconstrained optimization
期刊论文
MATHEMATICS OF COMPUTATION, 2003, 卷号: 72, 期号: 243, 页码: 1317-1328
Authors:
Dai, YH
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Submit date:2018/07/30
unconstrained optimization
conjugate gradient method
line search
descent property
global convergence
A three-parameter family of nonlinear conjugate gradient methods
期刊论文
MATHEMATICS OF COMPUTATION, 2001, 卷号: 70, 期号: 235, 页码: 1155-1167
Authors:
Dai, YH
;
Yuan, Y
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View/Download:69/0
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Submit date:2018/07/30
unconstrained optimization
conjugate gradient methods
line search
global convergence