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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2001, Vol. 2 Issue (1): 66-70    DOI: 10.1631/jzus.2001.0066
Science & Engineering     
SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM
LIANG Xi-ming, MA Long-hua, QIAN Ji-xin
College of Information Science & Engineering, Central South University, Changsha 410083, China; Institute of Systems Engineering, National Lab of Industrial Control Technology, Zhejiang University,Hangzhou 310027, China
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Abstract  The solution of quadratic programming problems is an important issue in the field of mathematical programming and industrial applications. In this paper, we solve convex quadratic programming by a potential-reduction interior-point algorithm. It is proved that the potential-reduction interior-point algorithm is globally convergent. Some numerical experiments were made.

Key words： potential-reduction interior-point algorithm      convex quadratic programming      convergence      numerical experiments     
Received: 18 June 1999     
CLC:  O224  
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MA Long-hua
LIANG Xi-ming
QIAN Ji-xin
Cite this article:

LIANG Xi-ming, MA Long-hua, QIAN Ji-xin. SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2001, 2(1): 66-70.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2001.0066     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2001/V2/I1/66

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