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English(EN) A Hybrid SMT-NRA Solver: Integrating 2D Cell-Jump-Based Local Search, MCSAT and OpenCAD

新的混合SMT-NRA求解器提高了搜索效率

研究人员开发了一个新颖的非线性实数算术理论可满足性模(SMT-NRA)混合框架。这种新方法集成了二维单元跳跃移动,它允许比现有方法更宽的搜索平面,并扩展了称为2D-LS的局部搜索框架。该系统进一步整合了MCSAT和OpenCAD,实现了高效的信息交换以提高搜索性能。实验结果表明局部搜索效率有了显著提高。 AI

排序理由 该集群包含一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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新的混合SMT-NRA求解器提高了搜索效率

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该集群包含一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tianyi Ding, Haokun Li, Xinpeng Ni, Bican Xia, Tianqi Zhao ·

    A Hybrid SMT-NRA Solver: Integrating 2D Cell-Jump-Based Local Search, MCSAT and OpenCAD

    arXiv:2507.00557v3 Announce Type: replace Abstract: In this paper, we propose a hybrid framework for Satisfiability Modulo the Theory of Nonlinear Real Arithmetic (SMT-NRA for short). First, we introduce a two-dimensional cell-jump move, called \emph{2D-cell-jump}, generalizing t…