Variational inequalities with generalized monotone operators
Mathematics of Operations Research
Mathematical Programming: Series A and B
SIAM Journal on Optimization
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This paper deals with a method for approximating a solution of the fixed point problem: find x@?@?H; x@?=(proj"F"("T")@?S)x@?, where H is a Hilbert space, S is some nonlinear operator and T is a nonexpansive mapping on a closed convex subset C and proj"F"("T") denotes the metric projection on the set of fixed points of T. First, we prove a strong convergence theorem by using a projection method which solves some variational inequality. As a special case, this projection method also solves some minimization problems. Secondly, under different restrictions on parameters, we obtain another strong convergence result which solves the above fixed point problem.