Martin Charles Golumbic, Renu C. Laskar
Discrete Applied Mathematics
It has been a challenge for mathematicians to theoretically confirm the extremely good performance of simplex algorithms for linear programming. We have confirmed that a certain variant of the simplex method solves problems of order m × n in an expected number of steps which is bounded between two quadratic functions of the smaller dimension of the problem. Our probabilistic assumptions are rather weak. © 1984 American Mathematical Society.
Martin Charles Golumbic, Renu C. Laskar
Discrete Applied Mathematics
M. Shub, B. Weiss
Ergodic Theory and Dynamical Systems
Karthik Visweswariah, Sanjeev Kulkarni, et al.
IEEE International Symposium on Information Theory - Proceedings
A. Skumanich
SPIE OE/LASE 1992