Shashanka Ubaru, Lior Horesh, et al.
Journal of Biomedical Informatics
Several network-flow problems with additional constraints are considered. They are all special cases of the linear-programming problem and are shown to be ℘-complete. It is shown that the existence of a strongly polynomial-time algorithm for any of these problems implies the existence of such an algorithm for the general linear-programming problem. On the positive side, strongly polynomial algorithms for some parametric flow problems are given, when the number of parameters is fixed. These algorithms are applicable to constrained flow problems when the number of additional constraints is fixed. © 1994 Springer-Verlag New York Inc.
Shashanka Ubaru, Lior Horesh, et al.
Journal of Biomedical Informatics
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
M. Shub, B. Weiss
Ergodic Theory and Dynamical Systems