Simulation in Java with SSJ
Simulation in Java with SSJ
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使用 SSJ 在 Java 中进行模拟
DOI：
10.1109/wsc.2005.1574301
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Eric Buist
中科院分区：
文献类型：
--
作者：
P. L'Ecuyer;Eric Buist
我们描述SSJ，这是一组有组织的软件工具，为Java中的随机模拟编程提供了通用工具。它支持事件视图、进程视图、连续模拟以及它们的任意混合。具有多个流和子流的随机数生成器、准蒙特卡罗方法及其随机化，以及用于丰富分布选择的随机变量生成，都在一个集成框架中得到支持。性能、灵活性和可扩展性是SSJ设计和实现的关键标准。我们用简单的例子来说明它的用法。
We describe SSJ, an organized set of software tools offering general-purpose facilities for stochastic simulation programming in Java. It supports the event view, process view, continuous simulation, and arbitrary mixtures of these. Random number generators with multiple streams and sub-streams, quasi-Monte Carlo methods and their randomizations, and random variate generation for a rich selection of distributions, are all supported in an integrated framework. Performance, flexibility, and extensibility were key criteria in the design and implementation of SSJ. We illustrate its use by simple examples.