Algorithmic Methods in Applied Probability

应用概率中的算法方法

• 批准号: 8601210
• 负责人: J. George Shanthikumar
• 金额: $ 2.4万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-07-15 至 1987-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8601210&HistoricalAwards=false
• 关键词: Algorithmic; Methods; Applied; Probability

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.

概率论在近几十年来经历了快速的转变，主要是由于工业和国防对解决越来越多的完整决策问题的需求。理论上的进步已经超过了计算上的考虑。首席研究员将开始通过关注应用概率中的算法方法来纠正这种不平衡，特别是通过开发和测试基于特定分布类别的算法，过程结构以及通过转换方法进行连续操作。