Algorithmic Methods in Applied Probability

近几十年来，概率论经历了快速的变革，这在很大程度上是由于工业和国防需要解决越来越多的完整决策问题。理论上的进步已经超过了计算上的考虑。首席研究人员将开始纠正这种不平衡，将重点放在应用概率的算法方法上，特别是通过开发和测试基于特定分布类别、过程结构和通过变换方法进行连续运算的算法。

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.