YANG Xi-mei, LIU Hong-wei, ZHANG Yin-kui. An Interior-Point Method With a New Iterative Scheme[J]. Applied Mathematics and Mechanics, 2014, 35(9): 1063-1070. doi: 10.3879/j.issn.1000-0887.2014.09.012
Citation: YANG Xi-mei, LIU Hong-wei, ZHANG Yin-kui. An Interior-Point Method With a New Iterative Scheme[J]. Applied Mathematics and Mechanics, 2014, 35(9): 1063-1070. doi: 10.3879/j.issn.1000-0887.2014.09.012

An Interior-Point Method With a New Iterative Scheme

doi: 10.3879/j.issn.1000-0887.2014.09.012
Funds:  The National Natural Science Foundation of China(61179040; 61303030)
  • Received Date: 2013-12-24
  • Publish Date: 2014-09-15
  • A 2nd-order Mehrotra-type predictor-corrector interior-point method was proposed for linear programming, in which the predictor direction and corrector direction were computed with the Newton method and the search direction was obtained through a new form of combination of the predictor direction and corrector direction. At each step of the iteration, the step size parameter was calculated with the iteration restricted to a wide neighborhood of the central path. Analysis indicates the proposed algorithm converges to the optimal solution after finite times of iteration and has the polynomial iteration complexity O(√nL), which is the best complexity result for the current interior-point methods. Numerical experiment proves the high efficiency of the proposed algorithm.
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