  In this paper we show that chordal structure can be used to devise efficient
optimization methods for robust model predictive control problems. The chordal
structure is used both for computing search directions efficiently as well as
for distributing all the other computations in an interior-point method for
solving the problem. The framework enables efficient parallel computations.
