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English(EN) Adaptive Search in Collatz Exponent-Code Space via 2-adic and 3-adic Constraints

新的符号搜索空间有助于 Collatz 猜想的研究

研究人员开发了一个新颖的符号搜索空间来研究 Collatz 猜想,利用有限指数代码来跟踪每次 3n + 1 步骤后的除以二操作。该方法基于实际漂移、2-adic 起始代表和 3-adic 终点代表定义了一个“2-3-无穷诊断”。实验表明,自适应进化搜索增强了有限长度代码的权衡,尽管所有测试方法都保持了正残差率,这表明该框架充当了诊断工具而非验证方法。 AI

排序理由 该条目是一篇学术论文,详细介绍了一种研究数学猜想的新方法。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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新的符号搜索空间有助于 Collatz 猜想的研究

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该条目是一篇学术论文,详细介绍了一种研究数学猜想的新方法。[lever_c_demoted from research: ic=1 ai=0.1]
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报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Oliver Kramer ·

    通过 2-adic 和 3-adic 约束在 Collatz 指数-代码空间中进行自适应搜索

    We study a symbolic search space for the Collatz conjecture based on finite exponent codes of the accelerated map. Each code records the number of divisions by two after every 3n + 1 step and determines three quantities: real drift, a 2-adic start representative, and a 3-adic end…