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Исследования2026年10月8日

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…

Yuanzhuo Zhang·arXiv — cs.AI
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Key Takeaways
  • 01.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)
  • 02.While recent optimization-based SMT solvers have successfully applied gradient…

This material is provided as an extended analytical summary.

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