Abstract
We prove strong convergence of a Halpern-Lions-Reich-like iterative algorithm for approximating fixed points or nonexpansive mappings in a uniformly smooth Banach space. The idea of this algorithm is then applied to solve a quadratic minimization problem in a Hilbert space.