论文标题
JSDP：Java随机DP库
jsdp: a Java Stochastic DP Library
论文作者
论文摘要
随机编程是建模和解决不确定性决策问题的框架。随机动态编程是随机编程的一个分支，它采用“功能方程式”方法来发现最佳策略。通过利用构造 - lambda表达式，功能接口，集合和汇总运算符 - 在Java中实施以操作MapReduce框架，JSDP提供了一个通用库，用于建模和求解随机动态程序。
Stochastic Programming is a framework for modelling and solving problems of decision making under uncertainty. Stochastic Dynamic Programming is a branch of Stochastic Programming that takes a "functional equation" approach to the discovery of optimal policies. By leveraging constructs - lambda expressions, functional interfaces, collections and aggregate operators - implemented in Java to operationalise the MapReduce framework, jsdp provides a general purpose library for modelling and solving Stochastic Dynamic Programs.
