On the convergence of the proximal point algorithm for convex minimization
SIAM Journal on Control and Optimization
Strong Convergence of a Proximal-Type Algorithm in a Banach Space
SIAM Journal on Optimization
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
A strong convergence theorem for relatively nonexpansive mappings in a Banach space
Journal of Approximation Theory
Computers & Mathematics with Applications
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The purpose of this paper is to introduce and consider a hybrid shrinking projection method for finding a common element of the set EP of solutions of a generalized equilibrium problem, the set @?"n"="0^~F(S"n) of common fixed points of a countable family of relatively nonexpansive mappings {S"n}"n"="0^~ and the set T^-^10 of zeros of a maximal monotone operator T in a uniformly smooth and uniformly convex Banach space. It is proven that under appropriate conditions, the sequence generated by the hybrid shrinking projection method, converges strongly to some point in EP@?T^-^10@?(@?"n"="0^~F(S"n)). This new result represents the improvement, complement and development of the previously known ones in the literature.