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SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM
引用本文:梁昔明,马龙华,钱积新. SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM[J]. Journal of Zhejiang University. Science. B, 2001, 0(1)
作者姓名:梁昔明  马龙华  钱积新
摘    要:INTRODUCTIONInthispaper,weconsiderthefollowingcon vexquadraticprogrammingminf(x) =12 xTQx cTxs.t.Ax≤b ,x≥ 0( 1 )wherec ,xaren vectors,bisanm vector,AisamatrixandQisasymmetricpositivesemi definitem×nmatrix .Theformof( 1 )doesnotlosegenerality ,becauseanypequalitycon st…


SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM
LIANG Xi-ming ,MA Long-hua ,QIAN Ji-xin. SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM[J]. Journal of Zhejiang University. Science. B, 2001, 0(1)
Authors:LIANG Xi-ming   MA Long-hua   QIAN Ji-xin
Affiliation:LIANG Xi-ming 1,MA Long-hua 2,QIAN Ji-xin 2
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.
Keywords:potential-reduction interior-point algorithm   convex quadratic programming   convergence   numerical experiments
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