Deciding floating-point logic with abstract conflict driven clause learning
We present a bit-precise decision procedure for the theory of floating-point arithmetic. The core of our approach is a non-trivial, lattice-theoretic generalisation of the conflict-driven clause learning algorithm in modern sat solvers to lattice-based abstractions. We use floating-point intervals t...
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Format: | Journal article |
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Springer Verlag
2014
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Deciding floating−point logic with abstract conflict driven clause learning
Published 2013
Journal article