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文章题目《A Filter-SQP Algorithm Based on Semidefinite Programming》发表在icnc 2009,
文章题目《A Filter-SQP Algorithm Based on Semidefinite Programming》发表在icnc 2009,
已经可以检索到了.
检索信息如下:
Accession number:20101512843813
Title:A filter-SQP algorithm based on semidefinite programming
Authors:Shulin,Yang1 ; Xiaorong,Zhu2 ; Dianchun,Wang3
Author affiliation:
1 Shengli College China University of Petroleum,Qingdao,China
2 Department of Information Science and Technology,Taishan College,Taian 271021,China
3 Continuing Education College,Shandong University of Science and Technology,Taian,China
Corresponding author:Shulin,Y.(Yangshulin989@sohu.com)
Source title:5th International Conference on Natural Computation,ICNC 2009
Abbreviated source title:Int.Conf.Nat.Comput.,ICNC
Volume:6
Monograph title:5th International Conference on Natural Computation,ICNC 2009
Issue date:2009
Publication year:2009
Pages:443-447
Article number:5364269
Language:English
ISBN-13:9780769537368
Document type:Conference article (CA)
Conference name:5th International Conference on Natural Computation,ICNC 2009
Conference date:August 14,2009 - August 16,2009
Conference location:Tianjian,China
Conference code:79867
Sponsor:Tianjin University of Technology
Publisher:IEEE Computer Society,445 Hoes Lane - P.O.Box 1331,Piscataway,NJ 08855-1331,United States
Abstract:This paper gives the Filter-SQP algorithm of the semidefinite programming through combining the sequence nonlinear algorithm of solving the semidefinite programming,low rank conversion,and Filter method,which ,under certain conditions,proves that the algorithm is global convergence.© 2009 IEEE.
Number of references:8
Main heading:Mathematical programming
Controlled terms:Algorithms - Convergence of numerical methods
Uncontrolled terms:Filter method - Global convergence - Low rank - Nonlinear algorithms - Semi-definite programming - SQP algorithm
Classification code:723 Computer Software,Data Handling and Applications - 723.1 Computer Programming - 921 Mathematics - 921.5 Optimization Techniques - 921.6 Numerical Methods - 922 Statistical Methods
DOI:10.1109/ICNC.2009.575
Database:Compendex
Compilation and indexing terms,© 2009 Elsevier Inc.
检索信息如下:
Accession number:20101512843813
Title:A filter-SQP algorithm based on semidefinite programming
Authors:Shulin,Yang1 ; Xiaorong,Zhu2 ; Dianchun,Wang3
Author affiliation:
1 Shengli College China University of Petroleum,Qingdao,China
2 Department of Information Science and Technology,Taishan College,Taian 271021,China
3 Continuing Education College,Shandong University of Science and Technology,Taian,China
Corresponding author:Shulin,Y.(Yangshulin989@sohu.com)
Source title:5th International Conference on Natural Computation,ICNC 2009
Abbreviated source title:Int.Conf.Nat.Comput.,ICNC
Volume:6
Monograph title:5th International Conference on Natural Computation,ICNC 2009
Issue date:2009
Publication year:2009
Pages:443-447
Article number:5364269
Language:English
ISBN-13:9780769537368
Document type:Conference article (CA)
Conference name:5th International Conference on Natural Computation,ICNC 2009
Conference date:August 14,2009 - August 16,2009
Conference location:Tianjian,China
Conference code:79867
Sponsor:Tianjin University of Technology
Publisher:IEEE Computer Society,445 Hoes Lane - P.O.Box 1331,Piscataway,NJ 08855-1331,United States
Abstract:This paper gives the Filter-SQP algorithm of the semidefinite programming through combining the sequence nonlinear algorithm of solving the semidefinite programming,low rank conversion,and Filter method,which ,under certain conditions,proves that the algorithm is global convergence.© 2009 IEEE.
Number of references:8
Main heading:Mathematical programming
Controlled terms:Algorithms - Convergence of numerical methods
Uncontrolled terms:Filter method - Global convergence - Low rank - Nonlinear algorithms - Semi-definite programming - SQP algorithm
Classification code:723 Computer Software,Data Handling and Applications - 723.1 Computer Programming - 921 Mathematics - 921.5 Optimization Techniques - 921.6 Numerical Methods - 922 Statistical Methods
DOI:10.1109/ICNC.2009.575
Database:Compendex
Compilation and indexing terms,© 2009 Elsevier Inc.
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