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SOLVING CONVEX QUADRATIC PROGRAMMING BY POTENTIAL-REDUCTION INTERIOR-POINT ALGORITHM
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,2001(1).
Authors:LIANG Xi-ming\  MA Long-hua\  QIAN Ji-xin\
Institution: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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