Accelerating Floating-Point Satisfiability Solving via Gradient Normalization
Satisfiability Modulo Theories (SMT) solvers are foundational to software verification, program analysis, and compiler testing, particularly over the theory of Quantifier-Free Floating-Point (QF_FP). While recent optimization-based SMT solvers have successfully applied gradient…
AI Summary & Key Takeaways
- Satisfiability Modulo Theories (SMT) solvers are foundational to software verification, program analysis, and compiler testing, particularly over the theory of Quantifier-Free Floating-Point (QF_FP)
- While recent optimization-based SMT solvers have successfully applied gradient…
Accelerating Floating-Point Satisfiability Solving via Gradient Normalization
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