Lourdes Zubieta

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Gradient-based optimization of stochastic dynamic systems require \good" estimators of the sensitivity to the control variables. Numerous methods have been proposed for gradient estimation of discrete event systems, usually requiring an impractical amount of information and/or computational eeort. Alternative solutions have been proposed in the literature(More)
We propose to build an intelligent mechanism within a computerized subway system that will adjust frequency of services according to the observed variable demand. Operating costs are generally associated with the number of one way trips per day per line, while social cost is measured as the total waiting time of all passengers per day. The proposed transit(More)
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