Can hospitals afford digital storage for imagery?
W.F. Cody, H.M. Gladney, et al.
SPIE Medical Imaging 1994
Stochastic multi-stage linear programs are rarely used in practical applications due to their size and complexity. Using a general matrix to aggregate the constraints of the deterministic equivalent yields a lower bound. A similar aggregation in the dual space provides an upper bound on the optimal value of the given stochastic program. Jensen's inequality and other approximations based on aggregation are a special case of the suggested approach. The lower and upper bounds are tightened by updating the aggregating weights.
W.F. Cody, H.M. Gladney, et al.
SPIE Medical Imaging 1994
Shashanka Ubaru, Lior Horesh, et al.
Journal of Biomedical Informatics
George Markowsky
J. Math. Anal. Appl.
Ligang Lu, Jack L. Kouloheris
IS&T/SPIE Electronic Imaging 2002