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P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 49

文献中也称circle packing in a squarepacking equal circles in a unit squarecsq

在边长 1 的正方形内放置 n 个半径相同、互不重叠的圆，使共同半径尽可能大。

子题n = 49
目标最大化 共同半径

纪录对比

共同半径 · 越大越好
纪录数值 / 区间作者 / 持有人来源
外部已知最好[0.0716926817035, 0.0716926817045]见来源署名packomania.com ↗
本站纪录暂无选手纪录——

严格定义

  • 容器单位正方形：左下角是原点 (0, 0)，右上角是 (1, 1)
  • 提交恰好 n 个圆：一个共同半径 radius 与 n 个圆心 centers
  • 约束每个圆完整落在容器内；两两内部不重叠，相切允许
  • 目标让共同半径尽可能大
放大来摆，然后提交 ↗

当前展示：起步布局

1y0
0x1
已验证构造r = 0.071692681

帮助理解

哪里有优化空间

最优构形是「卡死」的接触结构：圆彼此顶住、顶住边界，常出现斜排、错位、以及不碰任何邻居的游离圆。规整的网格摆法几乎从不最优。

前沿在哪里

n = 1–30 已证明最优，适合观察经典接触结构；n = 31–300 接入 Packomania 的公开前沿，除 n = 36 外最优性仍未知。大规模部分集中成一张表，供算法批量挑战。

查看来源
单位正方形内的等圆装箱 n = 49 的当前构型
构型与历史

起步布局

查看构型、求解笔记与纪录历史。

挑战这个纪录 ↗提交证明 / 思路 ↓在讨论区分享证明或思路，审核采纳后可获得证明分。
ANSWER FORMAT

答案怎么写

容器是边长 1 的正方形，左下角是原点 (0, 0)，右上角是 (1, 1)。坐标和长度用同一个单位，直接写成小数，例如 "0.5"，最多九位小数。

提交 radius 与 centers。每个数写成十进制字符串，例如 "0.25"。

起步布局答案

{
  "centers": [
    [
      "0.071692682",
      "0.071692682"
    ],
    [
      "0.320043416",
      "0.071692682"
    ],
    [
      "0.568394151",
      "0.071692682"
    ],
    [
      "0.762187168",
      "0.071692682"
    ],
    [
      "0.905572531",
      "0.071692682"
    ],
    [
      "0.195868049",
      "0.143385363"
    ],
    [
      "0.444218783",
      "0.143385363"
    ],
    [
      "0.665290659",
      "0.177382932"
    ],
    [
      "0.928307318",
      "0.21326419"
    ],
    [
      "0.071692682",
      "0.215078045"
    ],
    [
      "0.320043416",
      "0.215078045"
    ],
    [
      "0.541115292",
      "0.249075614"
    ],
    [
      "0.789466026",
      "0.249075614"
    ],
    [
      "0.195868049",
      "0.286770727"
    ],
    [
      "0.416939925",
      "0.320768296"
    ],
    [
      "0.665290659",
      "0.320768296"
    ],
    [
      "0.928307318",
      "0.356649553"
    ],
    [
      "0.071692682",
      "0.358463409"
    ],
    [
      "0.292764557",
      "0.392460977"
    ],
    [
      "0.541115292",
      "0.392460977"
    ],
    [
      "0.789466026",
      "0.392460977"
    ],
    [
      "0.16858919",
      "0.464153659"
    ],
    [
      "0.416939925",
      "0.464153659"
    ],
    [
      "0.665290659",
      "0.464153659"
    ],
    [
      "0.928307318",
      "0.500034917"
    ],
    [
      "0.292764557",
      "0.535846341"
    ],
    [
      "0.541115292",
      "0.535846341"
    ],
    [
      "0.789466026",
      "0.535846341"
    ],
    [
      "0.071692682",
      "0.56984391"
    ],
    [
      "0.416939925",
      "0.607539023"
    ],
    [
      "0.665290659",
      "0.607539023"
    ],
    [
      "0.195868049",
      "0.641536591"
    ],
    [
      "0.928307318",
      "0.64342028"
    ],
    [
      "0.541115292",
      "0.679231704"
    ],
    [
      "0.789466026",
      "0.679231704"
    ],
    [
      "0.071692682",
      "0.713229273"
    ],
    [
      "0.320043416",
      "0.713229273"
    ],
    [
      "0.665290659",
      "0.750924386"
    ],
    [
      "0.195868049",
      "0.784921955"
    ],
    [
      "0.444218783",
      "0.784921955"
    ],
    [
      "0.928307318",
      "0.786805643"
    ],
    [
      "0.789466026",
      "0.822617068"
    ],
    [
      "0.071692682",
      "0.856614637"
    ],
    [
      "0.320043416",
      "0.856614637"
    ],
    [
      "0.568394151",
      "0.856614637"
    ],
    [
      "0.895503414",
      "0.927450715"
    ],
    [
      "0.195868049",
      "0.928307318"
    ],
    [
      "0.444218783",
      "0.928307318"
    ],
    [
      "0.692569518",
      "0.928307318"
    ]
  ],
  "radius": "0.071692681"
}
提交格式与技术细节需要编写程序或准备 JSON 答案时再查看＋

子题参数

{
  "n": 49
}

起步布局答案

{
  "centers": [
    [
      "0.071692682",
      "0.071692682"
    ],
    [
      "0.320043416",
      "0.071692682"
    ],
    [
      "0.568394151",
      "0.071692682"
    ],
    [
      "0.762187168",
      "0.071692682"
    ],
    [
      "0.905572531",
      "0.071692682"
    ],
    [
      "0.195868049",
      "0.143385363"
    ],
    [
      "0.444218783",
      "0.143385363"
    ],
    [
      "0.665290659",
      "0.177382932"
    ],
    [
      "0.928307318",
      "0.21326419"
    ],
    [
      "0.071692682",
      "0.215078045"
    ],
    [
      "0.320043416",
      "0.215078045"
    ],
    [
      "0.541115292",
      "0.249075614"
    ],
    [
      "0.789466026",
      "0.249075614"
    ],
    [
      "0.195868049",
      "0.286770727"
    ],
    [
      "0.416939925",
      "0.320768296"
    ],
    [
      "0.665290659",
      "0.320768296"
    ],
    [
      "0.928307318",
      "0.356649553"
    ],
    [
      "0.071692682",
      "0.358463409"
    ],
    [
      "0.292764557",
      "0.392460977"
    ],
    [
      "0.541115292",
      "0.392460977"
    ],
    [
      "0.789466026",
      "0.392460977"
    ],
    [
      "0.16858919",
      "0.464153659"
    ],
    [
      "0.416939925",
      "0.464153659"
    ],
    [
      "0.665290659",
      "0.464153659"
    ],
    [
      "0.928307318",
      "0.500034917"
    ],
    [
      "0.292764557",
      "0.535846341"
    ],
    [
      "0.541115292",
      "0.535846341"
    ],
    [
      "0.789466026",
      "0.535846341"
    ],
    [
      "0.071692682",
      "0.56984391"
    ],
    [
      "0.416939925",
      "0.607539023"
    ],
    [
      "0.665290659",
      "0.607539023"
    ],
    [
      "0.195868049",
      "0.641536591"
    ],
    [
      "0.928307318",
      "0.64342028"
    ],
    [
      "0.541115292",
      "0.679231704"
    ],
    [
      "0.789466026",
      "0.679231704"
    ],
    [
      "0.071692682",
      "0.713229273"
    ],
    [
      "0.320043416",
      "0.713229273"
    ],
    [
      "0.665290659",
      "0.750924386"
    ],
    [
      "0.195868049",
      "0.784921955"
    ],
    [
      "0.444218783",
      "0.784921955"
    ],
    [
      "0.928307318",
      "0.786805643"
    ],
    [
      "0.789466026",
      "0.822617068"
    ],
    [
      "0.071692682",
      "0.856614637"
    ],
    [
      "0.320043416",
      "0.856614637"
    ],
    [
      "0.568394151",
      "0.856614637"
    ],
    [
      "0.895503414",
      "0.927450715"
    ],
    [
      "0.195868049",
      "0.928307318"
    ],
    [
      "0.444218783",
      "0.928307318"
    ],
    [
      "0.692569518",
      "0.928307318"
    ]
  ],
  "radius": "0.071692681"
}

提交 radius 与 centers。每个数写成十进制字符串，例如 "0.25"。 · 验证器 v1.0.0

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