  This paper explores the convergence behavior of two waveform relaxation
algorithms, namely the Dirichlet-Neumann and Neumann-Neumann Waveform
Relaxation algorithms, for an optimal control problem with a sub-diffusion
partial differential equation (PDE) constraint. The algorithms are tested on
regular 1D domains with multiple subdomains, and the analysis focuses on how
different constant values of the generalized diffusion coefficient affect the
convergence of these algorithms.
