Complementarity Functions and Numerical Experiments on Some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems

  • Authors:
  • X. D. Chen;D. Sun;J. Sun

  • Affiliations:
  • Department of Applied Mathematics, Tongji University, Shanghai, China. chenxiongda@yahoo.com;Department of Mathematics, National University of Singapore, Republic of Singapore. matsundf@nus.edu.sg;SMA and Department of Decision Sciences, National University of Singapore, Republic of Singapore. jsun@nus.edu.sg

  • Venue:
  • Computational Optimization and Applications
  • Year:
  • 2003

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Abstract

Two results on the second-order-cone complementarity problem are presented. We show that the squared smoothing function is strongly semismooth. Under monotonicity and strict feasibility we provide a new proof, based on a penalized natural complementarity function, for the solution set of the second-order-cone complementarity problem being bounded. Numerical results of squared smoothing Newton algorithms are reported.