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A Strong Convergence Theorem for an Iterative Method for Finding Zeros of Maximal Monotone Maps with Applications to Convex Minimization and Variational Inequality Problems

Published online by Cambridge University Press:  26 September 2018

C. E. Chidume
Affiliation:
African University of Science and Technology, Abuja, Nigeria ([email protected]; [email protected]; [email protected])
M. O. Uba
Affiliation:
Department of Mathematics, University of Nigeria, Nsukka, Nigeria ([email protected])
M. I. Uzochukwu
Affiliation:
African University of Science and Technology, Abuja, Nigeria ([email protected]; [email protected]; [email protected])
E. E. Otubo
Affiliation:
Ebonyi State University, Abakaliki, Nigeria ([email protected])
K. O. Idu
Affiliation:
African University of Science and Technology, Abuja, Nigeria ([email protected]; [email protected]; [email protected])

Abstract

Let E be a uniformly convex and uniformly smooth real Banach space, and let E* be its dual. Let A : E → 2E* be a bounded maximal monotone map. Assume that A−1(0) ≠ Ø. A new iterative sequence is constructed which converges strongly to an element of A−1(0). The theorem proved complements results obtained on strong convergence of the proximal point algorithm for approximating an element of A−1(0) (assuming existence) and also resolves an important open question. Furthermore, this result is applied to convex optimization problems and to variational inequality problems. These results are achieved by combining a theorem of Reich on the strong convergence of the resolvent of maximal monotone mappings in a uniformly smooth real Banach space and new geometric properties of uniformly convex and uniformly smooth real Banach spaces introduced by Alber, with a technique of proof which is also of independent interest.

Type
Research Article
Copyright
Copyright © Edinburgh Mathematical Society 2018 

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