  We develop and analyse a first-order algorithm for the A-optimal experimental
design problem. The problem is first presented as a special case of a
parametric family of optimal design problems for which duality results and
optimality conditions are given. Then, two first-order (Frank-Wolfe type)
algorithms are presented, accompanied by a detailed time-complexity analysis of
the algorithms and computational results on various sized problems.
