Iterative method for convex optimization problems in real Lebesgue spaces

Abstract

We introduce a new iterative scheme for finding common fixed points of a finite family of nonextensive mapping and zeros of strongly monotone mappings in Lp spaces, which yields a solution to a convex optimization problem. This provides a partial extension of a theorem of Yamada and some other authors from Hilbert spaces to the more general Banach spaces.