Case Branching Backward Simulator for Integer Factorization

Y. Hiranaka, T. Taketa, S. Miura
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引用次数: 1

Abstract

To verify the safety of a system, it is desirable to test all the situation, at least, by simulation. However, it is difficult to test the entire situation because the number of situations is almost uncountable. As a promising method, backward simulation which traces back from the undesirable result to causal input(s) is proposed. For such backward simulation, we have to transform the forward model into a backward model. This paper shows an example of transformation in the case of mathematical model of integer factorization, and shows the effectiveness of the backward simulation. Such backward simulation would require case branch processing. And the practicality of the simulation result will be influenced by the efficiency of the case division. We show an effective case branch processing by using stack and threaded actors which are promising schemes applicable to distributed processing.
整数分解的Case分支向后模拟器
为了验证系统的安全性,最好至少通过模拟测试所有情况。然而,很难测试整个情况,因为情况的数量几乎是不可数的。作为一种很有前途的方法,提出了从不希望的结果回溯到因果输入的反向模拟方法。对于这种后向模拟,我们必须将前向模型转换为后向模型。本文给出了整数分解数学模型的变换实例,说明了反向模拟的有效性。这种反向模拟需要案例分支处理。而案例划分的效率直接影响到仿真结果的实用性。我们展示了一种有效的案例分支处理方法,即使用堆栈和线程参与者,这是一种很有前途的分布式处理方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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