  Uncertainty quantification and sensitivity analyses are a vital component for
predictive modeling in the sciences and engineering. The adjoint approach to
sensitivity analysis requires solving a primary system of equations and a
mathematically related set of adjoint equations. The information contained in
the equations can be combined to produce sensitivity information in a
computationally efficient manner. In this work, sensitivity analyses are
performed on systems described by flux-limited radiative diffusion using the
adjoint approach. The sensitivities computed are shown to agree with standard
perturbation theory, and can be obtained in significantly less computational
time.
