增量线性化:可满足模非线性算法与超越函数的实用方法

A. Cimatti, A. Griggio, A. Irfan, Marco Roveri, R. Sebastiani
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引用次数: 3

摘要

可满足模数理论(SMT)是确定一阶公式相对于某些理论或理论组合的可满足性的问题。在本文中,我们概述了我们最近的方法,称为增量线性化,它成功地解决了基于实数非线性算法(NRA)理论的SMT问题,整数非线性算法(NIA)及其组合,以及超越(指数和三角)函数增广的NRA (NTA)。此外,我们还展示了一些实验结果,并概述了有趣的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incremental linearization: A practical approach to satisfiability modulo nonlinear arithmetic and transcendental functions
Satisfiability Modulo Theories (SMT) is the problem of deciding the satisfiability of a first-order formula with respect to some theory or combination of theories. In this paper, we overview our recent approach called Incremental Linearization, which successfully tackles the problems of SMT over the theories of nonlinear arithmetic over the reals (NRA), nonlinear arithmetic over the integers (NIA) and their combination, and of NRA augmented with transcendental (exponential and trigonometric) functions (NTA). Moreover, we showcase some of the experimental results and outline interesting future directions.
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