Acta mathematica scientia,Series A ›› 2011, Vol. 31 ›› Issue (1): 103-116.

• Articles • Previous Articles     Next Articles

QP-free Method for Nonlinear Programming Problems

 JIANG Ai-Ping   

  1. Sydney Institute of Language and Commerce, Shanghai University, Shanghai |201800
  • Received:2008-11-29 Revised:2010-01-13 Online:2011-02-25 Published:2011-02-25
  • Supported by:

    上海市优秀青年教师科研专项(B.37-0115-08-007)、上海大学创新基金(A.10-0115-09-900)、上海市自然科学基金(09ZR1411000)和国家自然科学基金(70502020)资助

Abstract:

In this paper, A QP-free feasible method is proposed to obtain the local convergence under some weaker conditions for the minimization of a smooth function subject to smooth inequalities.  Based on the solutions of linear systems of equation reformulation of the KKT optimality conditions, this method uses the 3-1 NCP function[1]. The method is iterative, which means each iteration can be viewed as a perturbation of a Newton or Quasi Newton on both the primal and dual variables for the solution of the equalities in the KKT first order conditions of optimality, and the feasibility of all iterations is ensured in this method.  In particular, this method is implementable and
globally convergent without assuming  the strict complementarity condition, the isolation of the accumulation point and the linear
independence of the gradients of active constrained functions. The method has also superlinear convergence rate under some mild
conditions which are the same as those in[2].  Some preliminary numerical results indicate that this new QP-free feasible method is quite promising.

Key words: Filter, QP-free method, Constrained function, Convergence, NCP function

CLC Number: 

  • 90C30
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