@article{SisLab2543,
           month = {June},
           title = {raSAT: an SMT solver for polynomial constraints},
          author = {Vu Xuan Tung and Van Khanh To and Mizuhito Ogawa},
       publisher = {Springer},
            year = {2017},
           pages = {1--38},
         journal = {Formal Methods in System Design},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2543/},
        abstract = {This paper presents raSAT SMT solver, which is aimed to handle polynomial constraints over both reals and integers with simple unified methodologies. Its three main features are (1) a raSAT loop for inequalities, which adds testing to interval constraint propagation to accelerate SAT detection, (2) a non-constructive reasoning for equations over reals based on the generalized intermediate value theorem, and (3) soundness of floating-point arithmetic that is guaranteed by (a) rounding up/down over-approximations of intervals, and (b) confirmation of a satisfying instance detected by testing using the iRRAM package, which guarantees error bounds.}
}