A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …

algorithm herself, her equity preference has no effect on the training procedure. So long as the data, however biased, contain … signal, they will be used and the learning algorithm will be the same. Equity preferences alone provide no reason to alter …

structure is relevant in many applications. We develop the theory underlying optimal menus of non-linear schedules and prove …

Since the September 11, 2001 terrorist attacks, repeated airport closures due to potential security breaches have … irregular operations. Our results indicate that while outcomes of flights scheduled during airport closures are difficult to … likelihood of continued security-related airport closings, understanding the factors that determine schedule recovery is …

We introduce an algorithm for solving dynamic economic models that merges stochastic simulation and projection … support of the ergodic measure roughly uniformly. The proposed algorithm is tractable in problems with high dimensionality …