# Accelerating Floating-Point Satisfiability Solving via Gradient Normalization

**Published:** October 8, 2026
**Author:** Yuanzhuo Zhang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.08808)

**Tags:** #arXiv

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