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	 JIPAM 
    
         
         
          
          | An Unconstrained Optimization Technique for Nonsmooth Nonlinear Complementarity Problems | 
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          Authors:  | 
          M. Tawhid,  | 
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          Keywords: 
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          Nonlinear complementarity problem, unconstrained minimization, NCP function, merit function, regularity conditions, nonsmooth function, descent algorithm. | 
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          Date Received: 
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          13/07/2009 | 
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          Date Accepted: 
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          22/07/2009 | 
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          Subject Codes: | 
           
             90C33, 90C20, 90C56, 49J52 
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          Editors:  | 
          Ram U. Verma,   | 
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          Abstract: | 
           
              In this article, we consider an unconstrained minimization formulation of the nonlinear complementarity problem NCP  when the underlying functions are  -differentiable but not necessarily locally Lipschitzian or directionally differentiable. We show how, under appropriate regularity conditions on an  -differential of  , minimizing the merit function corresponding to   leads to a solution of the nonlinear complementarity problem. Our results give a unified treatment of such results for  -functions, semismooth-functions, and for locally Lipschitzian functions. We also show a result on the global convergence of a derivative-free descent algorithm for solving nonsmooth nonlinear complementarity problem. ;
             
          
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	This article was printed from JIPAM 
	http://jipam.vu.edu.au 
	The URL for this article is: 
	http://jipam.vu.edu.au/article.php?sid=1124 
	
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