  The purpose of this article is to examine the greedy adaptive measurement
policy in the context of a linear Guassian measurement model with an
optimization criterion based on information gain. In the special case of
sequential scalar measurements, we provide sufficient conditions under which
the greedy policy actually is optimal in the sense of maximizing the net
information gain. In the general setting, we also discuss cases where the
greedy policy is not optimal.
