This paper presents a downtown parking model that integrates traffic congestion and saturated on-street parking. We … assume that the stock of cars cruising for parking adds to traffic congestion. Two major results come out from the model, one … of which is robust. The robust one is that, whether or not the amount of on-street parking is optimal, it is efficient to …

schools. This study explores whether the New Orleans placement algorithm favored students of certain races or socioeconomic …

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 …

people to behave dishonestly. In an experiment, we study how AI advice (generated by a Natural-Language-processing algorithm …

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