Algorithmic Methods in Applied Probability

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Probability Theory has undergone rapid transformations in recent decades, due largely to the demand by industry and defense to address increasing complete decision problems. Theoretical advances have outstripped computational considerations. The principal investigator will begin to rectify this imbalance by focusing on algorithm methods in applied probability, in particular, by the developing and testing of algorithms based on specific classes of distribution, the structure of processes and for continuum operations via transform methods.