Chinese Quarterly Journal of Mathematics ›› 2012, Vol. 27 ›› Issue (4): 624-632.

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A New Infeasible Interior-point Method for Linear Complementarity Problem Based on Full Newton Step

  

  1. 1. School of Water Resources and Hydropower, Wuhan University 2. College of Science, Guangdong University of Petrochemical Technology 3. School of Political Science and Public Management, Wuhan University

  • Received:2011-06-23 Online:2012-12-30 Published:2023-03-16
  • About author:GONG Xiao-yu(1979-), female, native of Suizhou, Hubei, a lecturer of Guangdong University of Petrochemical Technology, Ph.D., engeges in optimization theory and methods.
  • Supported by:
    Supported by the National Natural Science Fund Finances Projects(71071119)

Abstract: This paper proposes an infeasible interior-point algorithm with full-Newton step for linear complementarity problem, which is an extension of Roos about linear optimization. The main iteration of the algorithm consists of a feasibility step and several centrality steps. At last, we prove that the algorithm has O(nlog n/ε) polynomial complexity, which coincides with the best known one for the infeasible interior-point algorithm at present.

Key words: complementarity problem, infeasible interior-point methods, full-Newton step, polynomial complexity

CLC Number: