Efficient and scalable verification of nonlinear real arithmetic constraints is essential in many automated verification and synthesis tasks for hybrid systems, control algorithms, digital signal processors, and mixed analog/digital circuits. Despite substantial advances in verification technology, complexity issues with classical decision procedures for nonlinear real arithmetic are still a major obstacle for formal verification of real-world applications. © 2013 Springer-Verlag.
CITATION STYLE
Cheng, C. H., Ruess, H., & Shankar, N. (2013). JBernstein: A validity checker for generalized polynomial constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8044 LNCS, pp. 656–661). https://doi.org/10.1007/978-3-642-39799-8_43
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