We describe an interior-point algorithm for monotone linear complement
arity problems in which primal-dual affine scaling is used to generate
the search directions. The algorithm is shown to have global and supe
rlinear convergence with Q-order up to (but not including) two. The te
chnique is shown to be consistent with a potential-reduction algorithm
, yielding the first potential-reduction algorithm that is both global
ly and superlinearly convergent.