I. Introduction
For decades, numerical optimization has played a central role in addressing SP tasks. Many algorithms belong to the class of iterative algorithms, which take a given set of real-time problem parameters (e.g., channel realizations and/or signal to noise ratio specifications in wireless beamformer design) as their inputs, run a number of (potentially costly) iterations, and produce the “optimized” solutions as their outputs.