The classical DAD problem asks, for a square matrix A with nonnegative
entries, when it is possible to find positive diagonal matrices D1 an
d D2 with D1AD2 doubly stochastic. We consider various continuous and
measurable generalizations of this problem. Through a fusion of variat
ional and fixed point techniques we obtain strong analogues of the cla
ssical results. Our extensions appear inaccessible by either technique
separately. (C) 1994 Academic Press, Inc.