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SAT Modulo Differential Equation Simulations

机译:SAT模微分方程模拟

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摘要

Differential equations are of immense importance for modeling physical phenomena, often in combination with discrete modeling formalisms. In current industrial practice, properties of the resulting models are checked by testing, using simulation tools. Research on SAT solvers that are able to handle differential equations has aimed at replacing tests by correctness proofs. However, there are fundamental limitations to such approaches in the form of undecidability, and moreover, the resulting solvers do not scale to problems of the size commonly handled by simulation tools. Also, in many applications, classical mathematical semantics of differential equations often does not correspond well to the actual intended semantics, and hence a correctness proof wrt. mathematical semantics does not ensure correctness of the intended system. In this paper, we head at overcoming those limitations by an alternative approach to handling differential equations within SAT solvers. This approach is usually based on the semantics used by tests in simulation tools, but still may result in mathematically precise correctness proofs wrt. that semantics. Experiments with a prototype implementation confirm the promise of such an approach.
机译:微分方程对物理现象的建模非常重要,通常与离散的建模形式主义结合使用。在当前的工业实践中,使用模拟工具通过测试来检查所得模型的属性。对能够处理微分方程的SAT求解器的研究旨在用正确性证明代替测试。但是,此类方法存在不确定性,因此存在根本性的局限性,而且,生成的求解器无法扩展到模拟工具通常处理的大小问题。同样,在许多应用中,微分方程的经典数学语义通常与实际的预期语义不太吻合,因此证明了正确性。数学语义不能确​​保预期系统的正确性。在本文中,我们将通过在SAT求解器中处理微分方程的另一种方法来克服这些限制。这种方法通常基于仿真工具中测试所使用的语义,但仍可能产生数学上正确的正确性证明。那个语义。使用原型实现的实验证实了这种方法的前景。

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