中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [3]
长春光学精密机械与物... [1]
近代物理研究所 [1]
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OAI收割 [5]
内容类型
期刊论文 [4]
会议论文 [1]
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2016 [2]
2010 [3]
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A line search exact penalty method with bi-object strategy for nonlinear constrained optimization
期刊论文
OAI收割
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2016, 卷号: 300, 页码: 245-258
作者:
Chen, Zhongwen
;
Dai, Yu-Hong
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2018/07/30
Nonlinear constrained optimization
Exact penalty methods
Bi-object strategy
Global convergence
A derivative-free trust-region algorithm for composite nonsmooth optimization
期刊论文
OAI收割
COMPUTATIONAL & APPLIED MATHEMATICS, 2016, 卷号: 35, 期号: 2, 页码: 475-499
作者:
Grapiglia, Geovani Nunes
;
Yuan, Jinyun
;
Yuan, Ya-xiang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/07/30
Nonsmooth optimization
Nonlinear programming
Trust-region methods
Derivative-free optimization
Global convergence
Worst-case complexity
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
期刊论文
OAI收割
MATHEMATICAL PROGRAMMING, 2010, 卷号: 125, 期号: 1, 页码: 163-193
作者:
Liu, Xinwei
;
Yuan, Yaxiang
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2018/07/30
Global and local convergences
Null-space technique
Primal-dual interior-point methods
Nonlinear optimization with inequality and equality constraints
Optimal design of a 7 T highly homogeneous superconducting magnet for a Penning trap
期刊论文
OAI收割
CHINESE PHYSICS C, 2010, 卷号: 34, 期号: 7, 页码: 978-982
作者:
Ma Li-Zhen
;
Wu Wei
;
He Yuan
;
Huang Wen-Xue
;
Xia Jia-Wen
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2011/04/20
Penning trap
linear programming
magnet design
nonlinear optimization methods
pattern search
Image deblurring with adaptive total variation model (EI CONFERENCE)
会议论文
OAI收割
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
作者:
Zhang X.
;
Zhang X.
;
Zhang X.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
In this paper the models of blurring and methods of deblurring are introduced. A kind of nonlinear image deblurring approach is discussed
which comes from constrained optimization total variation approaches. An adaptive TV model method of image deblurring based on common TV model methods is proposed. The experimental results indicate that the proposed method can protect the details of the blurry image more efficiently and satisfy some deblurring requirements more adaptively. 2010 SPIE.