# Accelerating Floating-Point Satisfiability Solving via Gradient Normalization

> 全文为英语

**Published:** 2026年10月8日
**Author:** Yuanzhuo Zhang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/accelerating-floating-point-satisfiability-solving-via-gradient-normaliz

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…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.08808)

**标签：** #arXiv

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