P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 132

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 = 132
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[0.0447463709345, 0.0447463709355]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 = 0.044746370

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 = 132 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": [
    [
      "0.044746371",
      "0.044746371"
    ],
    [
      "0.199752347",
      "0.044746371"
    ],
    [
      "0.354758323",
      "0.044746371"
    ],
    [
      "0.509764298",
      "0.044746371"
    ],
    [
      "0.664770274",
      "0.044746371"
    ],
    [
      "0.81977625",
      "0.044746371"
    ],
    [
      "0.946148557",
      "0.053851444"
    ],
    [
      "0.122249359",
      "0.089492742"
    ],
    [
      "0.277255335",
      "0.089492742"
    ],
    [
      "0.432261311",
      "0.089492742"
    ],
    [
      "0.587267286",
      "0.089492742"
    ],
    [
      "0.742273262",
      "0.089492742"
    ],
    [
      "0.87364147",
      "0.116213069"
    ],
    [
      "0.044746371",
      "0.134239113"
    ],
    [
      "0.199752347",
      "0.134239113"
    ],
    [
      "0.354758323",
      "0.134239113"
    ],
    [
      "0.509764298",
      "0.134239113"
    ],
    [
      "0.664770274",
      "0.134239113"
    ],
    [
      "0.955253629",
      "0.152933722"
    ],
    [
      "0.796138483",
      "0.16095944"
    ],
    [
      "0.122249359",
      "0.178985484"
    ],
    [
      "0.277255335",
      "0.178985484"
    ],
    [
      "0.432261311",
      "0.178985484"
    ],
    [
      "0.587267286",
      "0.178985484"
    ],
    [
      "0.718635495",
      "0.20570581"
    ],
    [
      "0.87364147",
      "0.20570581"
    ],
    [
      "0.044746371",
      "0.223731855"
    ],
    [
      "0.199752347",
      "0.223731855"
    ],
    [
      "0.354758323",
      "0.223731855"
    ],
    [
      "0.509764298",
      "0.223731855"
    ],
    [
      "0.955253629",
      "0.242426464"
    ],
    [
      "0.641132507",
      "0.250452181"
    ],
    [
      "0.796138483",
      "0.250452181"
    ],
    [
      "0.122249359",
      "0.268478226"
    ],
    [
      "0.277255335",
      "0.268478226"
    ],
    [
      "0.432261311",
      "0.268478226"
    ],
    [
      "0.563629519",
      "0.295198552"
    ],
    [
      "0.718635495",
      "0.295198552"
    ],
    [
      "0.87364147",
      "0.295198552"
    ],
    [
      "0.044746371",
      "0.313224597"
    ],
    [
      "0.199752347",
      "0.313224597"
    ],
    [
      "0.354758323",
      "0.313224597"
    ],
    [
      "0.955253629",
      "0.331919206"
    ],
    [
      "0.486126531",
      "0.339944923"
    ],
    [
      "0.641132507",
      "0.339944923"
    ],
    [
      "0.796138483",
      "0.339944923"
    ],
    [
      "0.122249359",
      "0.357970967"
    ],
    [
      "0.277255335",
      "0.357970967"
    ],
    [
      "0.718635495",
      "0.384691294"
    ],
    [
      "0.408623543",
      "0.384691294"
    ],
    [
      "0.563629519",
      "0.384691294"
    ],
    [
      "0.87364147",
      "0.384691294"
    ],
    [
      "0.044746371",
      "0.402717338"
    ],
    [
      "0.199752347",
      "0.402717338"
    ],
    [
      "0.955253629",
      "0.421411948"
    ],
    [
      "0.331120555",
      "0.429437665"
    ],
    [
      "0.486126531",
      "0.429437665"
    ],
    [
      "0.641132507",
      "0.429437665"
    ],
    [
      "0.796138483",
      "0.429437665"
    ],
    [
      "0.122249359",
      "0.447463709"
    ],
    [
      "0.253617567",
      "0.474184036"
    ],
    [
      "0.408623543",
      "0.474184036"
    ],
    [
      "0.563629519",
      "0.474184036"
    ],
    [
      "0.718635495",
      "0.474184036"
    ],
    [
      "0.87364147",
      "0.474184036"
    ],
    [
      "0.044746371",
      "0.49221008"
    ],
    [
      "0.955253629",
      "0.51090469"
    ],
    [
      "0.176114579",
      "0.518930407"
    ],
    [
      "0.331120555",
      "0.518930407"
    ],
    [
      "0.486126531",
      "0.518930407"
    ],
    [
      "0.641132507",
      "0.518930407"
    ],
    [
      "0.796138483",
      "0.518930407"
    ],
    [
      "0.253617567",
      "0.563676778"
    ],
    [
      "0.408623543",
      "0.563676778"
    ],
    [
      "0.563629519",
      "0.563676778"
    ],
    [
      "0.718635495",
      "0.563676778"
    ],
    [
      "0.87364147",
      "0.563676778"
    ],
    [
      "0.044746371",
      "0.581702822"
    ],
    [
      "0.132872527",
      "0.597282662"
    ],
    [
      "0.955253629",
      "0.600397432"
    ],
    [
      "0.331120555",
      "0.608423149"
    ],
    [
      "0.486126531",
      "0.608423149"
    ],
    [
      "0.641132507",
      "0.608423149"
    ],
    [
      "0.796138483",
      "0.608423149"
    ],
    [
      "0.210375515",
      "0.642029033"
    ],
    [
      "0.408623543",
      "0.65316952"
    ],
    [
      "0.563629519",
      "0.65316952"
    ],
    [
      "0.718635495",
      "0.65316952"
    ],
    [
      "0.87364147",
      "0.65316952"
    ],
    [
      "0.044746371",
      "0.671195564"
    ],
    [
      "0.132872527",
      "0.686775403"
    ],
    [
      "0.287878503",
      "0.686775403"
    ],
    [
      "0.955253629",
      "0.689890174"
    ],
    [
      "0.486126531",
      "0.697915891"
    ],
    [
      "0.641132507",
      "0.697915891"
    ],
    [
      "0.796138483",
      "0.697915891"
    ],
    [
      "0.210375515",
      "0.731521774"
    ],
    [
      "0.365381491",
      "0.731521774"
    ],
    [
      "0.563629519",
      "0.742662262"
    ],
    [
      "0.718635495",
      "0.742662262"
    ],
    [
      "0.87364147",
      "0.742662262"
    ],
    [
      "0.044746371",
      "0.760688306"
    ],
    [
      "0.132872527",
      "0.776268145"
    ],
    [
      "0.287878503",
      "0.776268145"
    ],
    [
      "0.442884479",
      "0.776268145"
    ],
    [
      "0.955253629",
      "0.779382916"
    ],
    [
      "0.641132507",
      "0.787408633"
    ],
    [
      "0.796138483",
      "0.787408633"
    ],
    [
      "0.210375515",
      "0.821014516"
    ],
    [
      "0.365381491",
      "0.821014516"
    ],
    [
      "0.520387467",
      "0.821014516"
    ],
    [
      "0.718635495",
      "0.832155004"
    ],
    [
      "0.87364147",
      "0.832155004"
    ],
    [
      "0.044746371",
      "0.850181048"
    ],
    [
      "0.132872527",
      "0.865760887"
    ],
    [
      "0.287878503",
      "0.865760887"
    ],
    [
      "0.442884479",
      "0.865760887"
    ],
    [
      "0.597890455",
      "0.865760887"
    ],
    [
      "0.955253629",
      "0.868875657"
    ],
    [
      "0.796138483",
      "0.876901374"
    ],
    [
      "0.210375515",
      "0.910507258"
    ],
    [
      "0.365381491",
      "0.910507258"
    ],
    [
      "0.520387467",
      "0.910507258"
    ],
    [
      "0.675393443",
      "0.910507258"
    ],
    [
      "0.044746371",
      "0.93967379"
    ],
    [
      "0.8423725",
      "0.953526217"
    ],
    [
      "0.132872527",
      "0.955253629"
    ],
    [
      "0.287878503",
      "0.955253629"
    ],
    [
      "0.442884479",
      "0.955253629"
    ],
    [
      "0.597890455",
      "0.955253629"
    ],
    [
      "0.752896431",
      "0.955253629"
    ],
    [
      "0.931848568",
      "0.955253629"
    ]
  ],
  "radius": "0.04474637"
}
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": 132
}

起步布局答案

{
  "centers": [
    [
      "0.044746371",
      "0.044746371"
    ],
    [
      "0.199752347",
      "0.044746371"
    ],
    [
      "0.354758323",
      "0.044746371"
    ],
    [
      "0.509764298",
      "0.044746371"
    ],
    [
      "0.664770274",
      "0.044746371"
    ],
    [
      "0.81977625",
      "0.044746371"
    ],
    [
      "0.946148557",
      "0.053851444"
    ],
    [
      "0.122249359",
      "0.089492742"
    ],
    [
      "0.277255335",
      "0.089492742"
    ],
    [
      "0.432261311",
      "0.089492742"
    ],
    [
      "0.587267286",
      "0.089492742"
    ],
    [
      "0.742273262",
      "0.089492742"
    ],
    [
      "0.87364147",
      "0.116213069"
    ],
    [
      "0.044746371",
      "0.134239113"
    ],
    [
      "0.199752347",
      "0.134239113"
    ],
    [
      "0.354758323",
      "0.134239113"
    ],
    [
      "0.509764298",
      "0.134239113"
    ],
    [
      "0.664770274",
      "0.134239113"
    ],
    [
      "0.955253629",
      "0.152933722"
    ],
    [
      "0.796138483",
      "0.16095944"
    ],
    [
      "0.122249359",
      "0.178985484"
    ],
    [
      "0.277255335",
      "0.178985484"
    ],
    [
      "0.432261311",
      "0.178985484"
    ],
    [
      "0.587267286",
      "0.178985484"
    ],
    [
      "0.718635495",
      "0.20570581"
    ],
    [
      "0.87364147",
      "0.20570581"
    ],
    [
      "0.044746371",
      "0.223731855"
    ],
    [
      "0.199752347",
      "0.223731855"
    ],
    [
      "0.354758323",
      "0.223731855"
    ],
    [
      "0.509764298",
      "0.223731855"
    ],
    [
      "0.955253629",
      "0.242426464"
    ],
    [
      "0.641132507",
      "0.250452181"
    ],
    [
      "0.796138483",
      "0.250452181"
    ],
    [
      "0.122249359",
      "0.268478226"
    ],
    [
      "0.277255335",
      "0.268478226"
    ],
    [
      "0.432261311",
      "0.268478226"
    ],
    [
      "0.563629519",
      "0.295198552"
    ],
    [
      "0.718635495",
      "0.295198552"
    ],
    [
      "0.87364147",
      "0.295198552"
    ],
    [
      "0.044746371",
      "0.313224597"
    ],
    [
      "0.199752347",
      "0.313224597"
    ],
    [
      "0.354758323",
      "0.313224597"
    ],
    [
      "0.955253629",
      "0.331919206"
    ],
    [
      "0.486126531",
      "0.339944923"
    ],
    [
      "0.641132507",
      "0.339944923"
    ],
    [
      "0.796138483",
      "0.339944923"
    ],
    [
      "0.122249359",
      "0.357970967"
    ],
    [
      "0.277255335",
      "0.357970967"
    ],
    [
      "0.718635495",
      "0.384691294"
    ],
    [
      "0.408623543",
      "0.384691294"
    ],
    [
      "0.563629519",
      "0.384691294"
    ],
    [
      "0.87364147",
      "0.384691294"
    ],
    [
      "0.044746371",
      "0.402717338"
    ],
    [
      "0.199752347",
      "0.402717338"
    ],
    [
      "0.955253629",
      "0.421411948"
    ],
    [
      "0.331120555",
      "0.429437665"
    ],
    [
      "0.486126531",
      "0.429437665"
    ],
    [
      "0.641132507",
      "0.429437665"
    ],
    [
      "0.796138483",
      "0.429437665"
    ],
    [
      "0.122249359",
      "0.447463709"
    ],
    [
      "0.253617567",
      "0.474184036"
    ],
    [
      "0.408623543",
      "0.474184036"
    ],
    [
      "0.563629519",
      "0.474184036"
    ],
    [
      "0.718635495",
      "0.474184036"
    ],
    [
      "0.87364147",
      "0.474184036"
    ],
    [
      "0.044746371",
      "0.49221008"
    ],
    [
      "0.955253629",
      "0.51090469"
    ],
    [
      "0.176114579",
      "0.518930407"
    ],
    [
      "0.331120555",
      "0.518930407"
    ],
    [
      "0.486126531",
      "0.518930407"
    ],
    [
      "0.641132507",
      "0.518930407"
    ],
    [
      "0.796138483",
      "0.518930407"
    ],
    [
      "0.253617567",
      "0.563676778"
    ],
    [
      "0.408623543",
      "0.563676778"
    ],
    [
      "0.563629519",
      "0.563676778"
    ],
    [
      "0.718635495",
      "0.563676778"
    ],
    [
      "0.87364147",
      "0.563676778"
    ],
    [
      "0.044746371",
      "0.581702822"
    ],
    [
      "0.132872527",
      "0.597282662"
    ],
    [
      "0.955253629",
      "0.600397432"
    ],
    [
      "0.331120555",
      "0.608423149"
    ],
    [
      "0.486126531",
      "0.608423149"
    ],
    [
      "0.641132507",
      "0.608423149"
    ],
    [
      "0.796138483",
      "0.608423149"
    ],
    [
      "0.210375515",
      "0.642029033"
    ],
    [
      "0.408623543",
      "0.65316952"
    ],
    [
      "0.563629519",
      "0.65316952"
    ],
    [
      "0.718635495",
      "0.65316952"
    ],
    [
      "0.87364147",
      "0.65316952"
    ],
    [
      "0.044746371",
      "0.671195564"
    ],
    [
      "0.132872527",
      "0.686775403"
    ],
    [
      "0.287878503",
      "0.686775403"
    ],
    [
      "0.955253629",
      "0.689890174"
    ],
    [
      "0.486126531",
      "0.697915891"
    ],
    [
      "0.641132507",
      "0.697915891"
    ],
    [
      "0.796138483",
      "0.697915891"
    ],
    [
      "0.210375515",
      "0.731521774"
    ],
    [
      "0.365381491",
      "0.731521774"
    ],
    [
      "0.563629519",
      "0.742662262"
    ],
    [
      "0.718635495",
      "0.742662262"
    ],
    [
      "0.87364147",
      "0.742662262"
    ],
    [
      "0.044746371",
      "0.760688306"
    ],
    [
      "0.132872527",
      "0.776268145"
    ],
    [
      "0.287878503",
      "0.776268145"
    ],
    [
      "0.442884479",
      "0.776268145"
    ],
    [
      "0.955253629",
      "0.779382916"
    ],
    [
      "0.641132507",
      "0.787408633"
    ],
    [
      "0.796138483",
      "0.787408633"
    ],
    [
      "0.210375515",
      "0.821014516"
    ],
    [
      "0.365381491",
      "0.821014516"
    ],
    [
      "0.520387467",
      "0.821014516"
    ],
    [
      "0.718635495",
      "0.832155004"
    ],
    [
      "0.87364147",
      "0.832155004"
    ],
    [
      "0.044746371",
      "0.850181048"
    ],
    [
      "0.132872527",
      "0.865760887"
    ],
    [
      "0.287878503",
      "0.865760887"
    ],
    [
      "0.442884479",
      "0.865760887"
    ],
    [
      "0.597890455",
      "0.865760887"
    ],
    [
      "0.955253629",
      "0.868875657"
    ],
    [
      "0.796138483",
      "0.876901374"
    ],
    [
      "0.210375515",
      "0.910507258"
    ],
    [
      "0.365381491",
      "0.910507258"
    ],
    [
      "0.520387467",
      "0.910507258"
    ],
    [
      "0.675393443",
      "0.910507258"
    ],
    [
      "0.044746371",
      "0.93967379"
    ],
    [
      "0.8423725",
      "0.953526217"
    ],
    [
      "0.132872527",
      "0.955253629"
    ],
    [
      "0.287878503",
      "0.955253629"
    ],
    [
      "0.442884479",
      "0.955253629"
    ],
    [
      "0.597890455",
      "0.955253629"
    ],
    [
      "0.752896431",
      "0.955253629"
    ],
    [
      "0.931848568",
      "0.955253629"
    ]
  ],
  "radius": "0.04474637"
}

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

DISCUSSION

讨论区

聊思路、贴方法、问为什么卡住。所有登录用户都可以发帖;发言公开署名,与纪录使用同一个名字,署名后的 #编号是账号注册序号,冒不了名。新发言经自动审核后公开。