Discovering Predictive Association Rules
Nimrod Megiddo, Ramakrishnan Srikant
KDD 1998
In this paper we analyze the average number of steps performed by the self-dual simplex algorithm for linear programming, under the probabilistic model of spherical symmetry. The model was proposed by Smale. Consider a problem of n variables with m constraints. Smale established that for every number of constraints m, there is a constant c(m) such that the number of pivot steps of the self-dual algorithm, ρ(m, n), is less than c(m)(ln n)m(m+1). We improve upon this estimate by showing that ρ(m, n) is bounded by a function of m only. The symmetry of the function in m and n implies that ρ(m, n) is in fact bounded by a function of the smaller of m and n. © 1986 The Mathematical Programming Society, Inc.
Nimrod Megiddo, Ramakrishnan Srikant
KDD 1998
Nimrod Megiddo
Journal of Symbolic Computation
Moritz Hardt, Nimrod Megiddo, et al.
ITCS 2016
Edith Cohen, Nimrod Megiddo
Mathematical Programming