  In this paper we present a dual active-set solver for quadratic programming
which has properties suitable for use in embedded model predictive control
applications. In particular, the solver is efficient, can easily be
warm-started, and is simple to code. Moreover, the exact worst-case
computational complexity of the solver can be determined offline and, by using
outer proximal-point iterations, ill-conditioned problems can be handled in a
robust manner.
