Simultaneous Vector Variational Inequalities and Vector Implicit Complementarity Problem

1997 ◽  
Vol 93 (1) ◽  
pp. 141-151 ◽  
Author(s):  
J. Fu
1985 ◽  
Vol 32 (2) ◽  
pp. 251-260 ◽  
Author(s):  
G. Isac

We consider in this paper the implicit complementarity problem imposed by quasi-variational inequalities and stochastic optimal control. The principal result is an existence theorem for the implicit complementarity problem in Hilbert spaces.


Author(s):  
Surjeet Kaur Suneja ◽  
Bhawna Kohli

In this paper, K- quasiconvex, K- pseudoconvex and other related functions have been introduced in terms of their Clarke subdifferentials, where   is an arbitrary closed convex, pointed cone with nonempty interior. The (strict, weakly) -pseudomonotonicity, (strict) K- naturally quasimonotonicity and K- quasimonotonicity of Clarke subdifferential maps have also been defined. Further, we introduce Minty weak (MVVIP) and Stampacchia weak (SVVIP) vector variational inequalities over arbitrary cones. Under regularity assumption, we have proved that a weak minimum solution of vector optimization problem (VOP) is a solution of (SVVIP) and under the condition of K- pseudoconvexity we have obtained the converse for MVVIP (SVVIP). In the end we study the interrelations between these with the help of strict K-naturally quasimonotonicity of Clarke subdifferential map.


2017 ◽  
Vol 7 (2) ◽  
pp. 363-375 ◽  
Author(s):  
Chen-Liang Li ◽  
Jun-Tao Hong

AbstractWe construct modulus-based synchronous multisplitting iteration methods to solve a large implicit complementarity problem on parallel multiprocessor systems, and prove their convergence. Numerical results confirm our theoretical analysis and show that these new methods are efficient.


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