P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 147

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 = 147
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[0.0424469914045, 0.0424469914055]见来源署名packomania.com ↗
本站纪录0.042446991游侠纪录详情 ↓

本站纪录尚未确认达到或超越此参考纪录。

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:本站纪录

1y0
0x1
已验证构造r = 0.042446991

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 = 147 的当前纪录构型,0.042446991
构型与历史

纪录详情

查看构型、求解笔记与纪录历史。

纪录保持者游侠
解题方式AI · OpenAI: GPT-5.6 Sol
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。
纪录保持者的求解笔记暂无求解笔记(点击展开)+

纪录保持者还没有分享求解过程。

历史纪录(1 次易主)
  1. 游侠AI · OpenAI: GPT-5.6 Sol
    0.042446990→0.042446991
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"。

当前第一名的答案

{
  "centers": [
    [
      "0.042446991",
      "0.042446991"
    ],
    [
      "0.189487683",
      "0.042446991"
    ],
    [
      "0.336528375",
      "0.042446991"
    ],
    [
      "0.483578266",
      "0.042446991"
    ],
    [
      "0.631768259",
      "0.042446991"
    ],
    [
      "0.790083076",
      "0.042446991"
    ],
    [
      "0.957553009",
      "0.042446991"
    ],
    [
      "0.873818043",
      "0.056427109"
    ],
    [
      "0.710925668",
      "0.073124230"
    ],
    [
      "0.557673263",
      "0.083882722"
    ],
    [
      "0.410053321",
      "0.084886014"
    ],
    [
      "0.263008029",
      "0.084893982"
    ],
    [
      "0.115967337",
      "0.084893982"
    ],
    [
      "0.927792664",
      "0.121953658"
    ],
    [
      "0.777071640",
      "0.126337937"
    ],
    [
      "0.630605157",
      "0.127333006"
    ],
    [
      "0.483569066",
      "0.127340973"
    ],
    [
      "0.042446991",
      "0.127340973"
    ],
    [
      "0.189487683",
      "0.127340973"
    ],
    [
      "0.336528375",
      "0.127340973"
    ],
    [
      "0.853566868",
      "0.163158869"
    ],
    [
      "0.704130102",
      "0.169772029"
    ],
    [
      "0.557089412",
      "0.169787964"
    ],
    [
      "0.115967337",
      "0.169787965"
    ],
    [
      "0.263008029",
      "0.169787964"
    ],
    [
      "0.410048720",
      "0.169787965"
    ],
    [
      "0.957553009",
      "0.201460325"
    ],
    [
      "0.778215898",
      "0.211224208"
    ],
    [
      "0.630614357",
      "0.212226988"
    ],
    [
      "0.042446991",
      "0.212234956"
    ],
    [
      "0.189487683",
      "0.212234955"
    ],
    [
      "0.336528374",
      "0.212234956"
    ],
    [
      "0.483569066",
      "0.212234956"
    ],
    [
      "0.883183724",
      "0.243482847"
    ],
    [
      "0.705274360",
      "0.254662545"
    ],
    [
      "0.115967337",
      "0.254681948"
    ],
    [
      "0.263008028",
      "0.254681947"
    ],
    [
      "0.410048720",
      "0.254681948"
    ],
    [
      "0.557089412",
      "0.254681948"
    ],
    [
      "0.957553009",
      "0.286354308"
    ],
    [
      "0.808194899",
      "0.290648687"
    ],
    [
      "0.630614358",
      "0.297120971"
    ],
    [
      "0.042446991",
      "0.297128939"
    ],
    [
      "0.189487683",
      "0.297128939"
    ],
    [
      "0.336528374",
      "0.297128939"
    ],
    [
      "0.483569066",
      "0.297128939"
    ],
    [
      "0.884032663",
      "0.328801300"
    ],
    [
      "0.704134704",
      "0.339567963"
    ],
    [
      "0.115967337",
      "0.339575931"
    ],
    [
      "0.263008029",
      "0.339575931"
    ],
    [
      "0.410048720",
      "0.339575930"
    ],
    [
      "0.557089412",
      "0.339575931"
    ],
    [
      "0.957553009",
      "0.371248291"
    ],
    [
      "0.782738875",
      "0.371636211"
    ],
    [
      "0.630614358",
      "0.382014953"
    ],
    [
      "0.042446991",
      "0.382022922"
    ],
    [
      "0.189487683",
      "0.382022922"
    ],
    [
      "0.336528375",
      "0.382022922"
    ],
    [
      "0.483569066",
      "0.382022921"
    ],
    [
      "0.858576639",
      "0.409788824"
    ],
    [
      "0.704134703",
      "0.424461945"
    ],
    [
      "0.115967337",
      "0.424469914"
    ],
    [
      "0.263008029",
      "0.424469914"
    ],
    [
      "0.410048721",
      "0.424469913"
    ],
    [
      "0.557089412",
      "0.424469914"
    ],
    [
      "0.932096984",
      "0.452235816"
    ],
    [
      "0.782738875",
      "0.456530194"
    ],
    [
      "0.630614358",
      "0.466908937"
    ],
    [
      "0.042446991",
      "0.466916905"
    ],
    [
      "0.189487683",
      "0.466916905"
    ],
    [
      "0.336528375",
      "0.466916905"
    ],
    [
      "0.483569066",
      "0.466916905"
    ],
    [
      "0.858576639",
      "0.494682808"
    ],
    [
      "0.704134704",
      "0.509355927"
    ],
    [
      "0.115967337",
      "0.509363896"
    ],
    [
      "0.263008029",
      "0.509363896"
    ],
    [
      "0.410048721",
      "0.509363897"
    ],
    [
      "0.557089412",
      "0.509363896"
    ],
    [
      "0.957553009",
      "0.533223340"
    ],
    [
      "0.782738875",
      "0.541424177"
    ],
    [
      "0.630614358",
      "0.551802919"
    ],
    [
      "0.042446991",
      "0.551810888"
    ],
    [
      "0.189487683",
      "0.551810888"
    ],
    [
      "0.336528375",
      "0.551810887"
    ],
    [
      "0.483569066",
      "0.551810889"
    ],
    [
      "0.884032663",
      "0.575670332"
    ],
    [
      "0.704134703",
      "0.594249911"
    ],
    [
      "0.115967337",
      "0.594257879"
    ],
    [
      "0.263008029",
      "0.594257878"
    ],
    [
      "0.410048720",
      "0.594257879"
    ],
    [
      "0.557089412",
      "0.594257879"
    ],
    [
      "0.957553009",
      "0.618117323"
    ],
    [
      "0.808194899",
      "0.622411702"
    ],
    [
      "0.630614357",
      "0.636696902"
    ],
    [
      "0.042446991",
      "0.636704871"
    ],
    [
      "0.189487683",
      "0.636704871"
    ],
    [
      "0.336528374",
      "0.636704870"
    ],
    [
      "0.483569066",
      "0.636704871"
    ],
    [
      "0.884032663",
      "0.660564315"
    ],
    [
      "0.729590728",
      "0.675237435"
    ],
    [
      "0.115967337",
      "0.679151862"
    ],
    [
      "0.263008029",
      "0.679151862"
    ],
    [
      "0.410048720",
      "0.679151862"
    ],
    [
      "0.557089412",
      "0.679151862"
    ],
    [
      "0.957553009",
      "0.703011306"
    ],
    [
      "0.808194899",
      "0.707305684"
    ],
    [
      "0.656070382",
      "0.717684427"
    ],
    [
      "0.042446991",
      "0.721598854"
    ],
    [
      "0.189487683",
      "0.721598854"
    ],
    [
      "0.336528374",
      "0.721598854"
    ],
    [
      "0.483569066",
      "0.721598854"
    ],
    [
      "0.884032663",
      "0.745458298"
    ],
    [
      "0.729590728",
      "0.760131418"
    ],
    [
      "0.582545437",
      "0.760139387"
    ],
    [
      "0.115967337",
      "0.764045845"
    ],
    [
      "0.266071376",
      "0.769351719"
    ],
    [
      "0.426159825",
      "0.784138180"
    ],
    [
      "0.957553009",
      "0.787905289"
    ],
    [
      "0.808194899",
      "0.792199667"
    ],
    [
      "0.656070382",
      "0.802578410"
    ],
    [
      "0.509025091",
      "0.802586378"
    ],
    [
      "0.344168717",
      "0.806148327"
    ],
    [
      "0.042446991",
      "0.806492837"
    ],
    [
      "0.189487683",
      "0.806492837"
    ],
    [
      "0.884032663",
      "0.830352280"
    ],
    [
      "0.730088162",
      "0.848939828"
    ],
    [
      "0.568789594",
      "0.865918534"
    ],
    [
      "0.128220728",
      "0.870163324"
    ],
    [
      "0.957553009",
      "0.872799272"
    ],
    [
      "0.392892749",
      "0.875667800"
    ],
    [
      "0.813072649",
      "0.876953404"
    ],
    [
      "0.477589871",
      "0.881445844"
    ],
    [
      "0.308325103",
      "0.883104313"
    ],
    [
      "0.223439569",
      "0.884301948"
    ],
    [
      "0.653656677",
      "0.887438072"
    ],
    [
      "0.042446991",
      "0.891386819"
    ],
    [
      "0.869544550",
      "0.940340412"
    ],
    [
      "0.520957081",
      "0.954427166"
    ],
    [
      "0.351235130",
      "0.956355374"
    ],
    [
      "0.095635559",
      "0.957553009"
    ],
    [
      "0.180529542",
      "0.957553009"
    ],
    [
      "0.266349596",
      "0.957553009"
    ],
    [
      "0.436120665",
      "0.957553009"
    ],
    [
      "0.605793496",
      "0.957553009"
    ],
    [
      "0.701519858",
      "0.957553009"
    ],
    [
      "0.786413841",
      "0.957553009"
    ],
    [
      "0.952675259",
      "0.957553009"
    ]
  ],
  "radius": "0.042446991"
}
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": 147
}

当前第一名的答案

{
  "centers": [
    [
      "0.042446991",
      "0.042446991"
    ],
    [
      "0.189487683",
      "0.042446991"
    ],
    [
      "0.336528375",
      "0.042446991"
    ],
    [
      "0.483578266",
      "0.042446991"
    ],
    [
      "0.631768259",
      "0.042446991"
    ],
    [
      "0.790083076",
      "0.042446991"
    ],
    [
      "0.957553009",
      "0.042446991"
    ],
    [
      "0.873818043",
      "0.056427109"
    ],
    [
      "0.710925668",
      "0.073124230"
    ],
    [
      "0.557673263",
      "0.083882722"
    ],
    [
      "0.410053321",
      "0.084886014"
    ],
    [
      "0.263008029",
      "0.084893982"
    ],
    [
      "0.115967337",
      "0.084893982"
    ],
    [
      "0.927792664",
      "0.121953658"
    ],
    [
      "0.777071640",
      "0.126337937"
    ],
    [
      "0.630605157",
      "0.127333006"
    ],
    [
      "0.483569066",
      "0.127340973"
    ],
    [
      "0.042446991",
      "0.127340973"
    ],
    [
      "0.189487683",
      "0.127340973"
    ],
    [
      "0.336528375",
      "0.127340973"
    ],
    [
      "0.853566868",
      "0.163158869"
    ],
    [
      "0.704130102",
      "0.169772029"
    ],
    [
      "0.557089412",
      "0.169787964"
    ],
    [
      "0.115967337",
      "0.169787965"
    ],
    [
      "0.263008029",
      "0.169787964"
    ],
    [
      "0.410048720",
      "0.169787965"
    ],
    [
      "0.957553009",
      "0.201460325"
    ],
    [
      "0.778215898",
      "0.211224208"
    ],
    [
      "0.630614357",
      "0.212226988"
    ],
    [
      "0.042446991",
      "0.212234956"
    ],
    [
      "0.189487683",
      "0.212234955"
    ],
    [
      "0.336528374",
      "0.212234956"
    ],
    [
      "0.483569066",
      "0.212234956"
    ],
    [
      "0.883183724",
      "0.243482847"
    ],
    [
      "0.705274360",
      "0.254662545"
    ],
    [
      "0.115967337",
      "0.254681948"
    ],
    [
      "0.263008028",
      "0.254681947"
    ],
    [
      "0.410048720",
      "0.254681948"
    ],
    [
      "0.557089412",
      "0.254681948"
    ],
    [
      "0.957553009",
      "0.286354308"
    ],
    [
      "0.808194899",
      "0.290648687"
    ],
    [
      "0.630614358",
      "0.297120971"
    ],
    [
      "0.042446991",
      "0.297128939"
    ],
    [
      "0.189487683",
      "0.297128939"
    ],
    [
      "0.336528374",
      "0.297128939"
    ],
    [
      "0.483569066",
      "0.297128939"
    ],
    [
      "0.884032663",
      "0.328801300"
    ],
    [
      "0.704134704",
      "0.339567963"
    ],
    [
      "0.115967337",
      "0.339575931"
    ],
    [
      "0.263008029",
      "0.339575931"
    ],
    [
      "0.410048720",
      "0.339575930"
    ],
    [
      "0.557089412",
      "0.339575931"
    ],
    [
      "0.957553009",
      "0.371248291"
    ],
    [
      "0.782738875",
      "0.371636211"
    ],
    [
      "0.630614358",
      "0.382014953"
    ],
    [
      "0.042446991",
      "0.382022922"
    ],
    [
      "0.189487683",
      "0.382022922"
    ],
    [
      "0.336528375",
      "0.382022922"
    ],
    [
      "0.483569066",
      "0.382022921"
    ],
    [
      "0.858576639",
      "0.409788824"
    ],
    [
      "0.704134703",
      "0.424461945"
    ],
    [
      "0.115967337",
      "0.424469914"
    ],
    [
      "0.263008029",
      "0.424469914"
    ],
    [
      "0.410048721",
      "0.424469913"
    ],
    [
      "0.557089412",
      "0.424469914"
    ],
    [
      "0.932096984",
      "0.452235816"
    ],
    [
      "0.782738875",
      "0.456530194"
    ],
    [
      "0.630614358",
      "0.466908937"
    ],
    [
      "0.042446991",
      "0.466916905"
    ],
    [
      "0.189487683",
      "0.466916905"
    ],
    [
      "0.336528375",
      "0.466916905"
    ],
    [
      "0.483569066",
      "0.466916905"
    ],
    [
      "0.858576639",
      "0.494682808"
    ],
    [
      "0.704134704",
      "0.509355927"
    ],
    [
      "0.115967337",
      "0.509363896"
    ],
    [
      "0.263008029",
      "0.509363896"
    ],
    [
      "0.410048721",
      "0.509363897"
    ],
    [
      "0.557089412",
      "0.509363896"
    ],
    [
      "0.957553009",
      "0.533223340"
    ],
    [
      "0.782738875",
      "0.541424177"
    ],
    [
      "0.630614358",
      "0.551802919"
    ],
    [
      "0.042446991",
      "0.551810888"
    ],
    [
      "0.189487683",
      "0.551810888"
    ],
    [
      "0.336528375",
      "0.551810887"
    ],
    [
      "0.483569066",
      "0.551810889"
    ],
    [
      "0.884032663",
      "0.575670332"
    ],
    [
      "0.704134703",
      "0.594249911"
    ],
    [
      "0.115967337",
      "0.594257879"
    ],
    [
      "0.263008029",
      "0.594257878"
    ],
    [
      "0.410048720",
      "0.594257879"
    ],
    [
      "0.557089412",
      "0.594257879"
    ],
    [
      "0.957553009",
      "0.618117323"
    ],
    [
      "0.808194899",
      "0.622411702"
    ],
    [
      "0.630614357",
      "0.636696902"
    ],
    [
      "0.042446991",
      "0.636704871"
    ],
    [
      "0.189487683",
      "0.636704871"
    ],
    [
      "0.336528374",
      "0.636704870"
    ],
    [
      "0.483569066",
      "0.636704871"
    ],
    [
      "0.884032663",
      "0.660564315"
    ],
    [
      "0.729590728",
      "0.675237435"
    ],
    [
      "0.115967337",
      "0.679151862"
    ],
    [
      "0.263008029",
      "0.679151862"
    ],
    [
      "0.410048720",
      "0.679151862"
    ],
    [
      "0.557089412",
      "0.679151862"
    ],
    [
      "0.957553009",
      "0.703011306"
    ],
    [
      "0.808194899",
      "0.707305684"
    ],
    [
      "0.656070382",
      "0.717684427"
    ],
    [
      "0.042446991",
      "0.721598854"
    ],
    [
      "0.189487683",
      "0.721598854"
    ],
    [
      "0.336528374",
      "0.721598854"
    ],
    [
      "0.483569066",
      "0.721598854"
    ],
    [
      "0.884032663",
      "0.745458298"
    ],
    [
      "0.729590728",
      "0.760131418"
    ],
    [
      "0.582545437",
      "0.760139387"
    ],
    [
      "0.115967337",
      "0.764045845"
    ],
    [
      "0.266071376",
      "0.769351719"
    ],
    [
      "0.426159825",
      "0.784138180"
    ],
    [
      "0.957553009",
      "0.787905289"
    ],
    [
      "0.808194899",
      "0.792199667"
    ],
    [
      "0.656070382",
      "0.802578410"
    ],
    [
      "0.509025091",
      "0.802586378"
    ],
    [
      "0.344168717",
      "0.806148327"
    ],
    [
      "0.042446991",
      "0.806492837"
    ],
    [
      "0.189487683",
      "0.806492837"
    ],
    [
      "0.884032663",
      "0.830352280"
    ],
    [
      "0.730088162",
      "0.848939828"
    ],
    [
      "0.568789594",
      "0.865918534"
    ],
    [
      "0.128220728",
      "0.870163324"
    ],
    [
      "0.957553009",
      "0.872799272"
    ],
    [
      "0.392892749",
      "0.875667800"
    ],
    [
      "0.813072649",
      "0.876953404"
    ],
    [
      "0.477589871",
      "0.881445844"
    ],
    [
      "0.308325103",
      "0.883104313"
    ],
    [
      "0.223439569",
      "0.884301948"
    ],
    [
      "0.653656677",
      "0.887438072"
    ],
    [
      "0.042446991",
      "0.891386819"
    ],
    [
      "0.869544550",
      "0.940340412"
    ],
    [
      "0.520957081",
      "0.954427166"
    ],
    [
      "0.351235130",
      "0.956355374"
    ],
    [
      "0.095635559",
      "0.957553009"
    ],
    [
      "0.180529542",
      "0.957553009"
    ],
    [
      "0.266349596",
      "0.957553009"
    ],
    [
      "0.436120665",
      "0.957553009"
    ],
    [
      "0.605793496",
      "0.957553009"
    ],
    [
      "0.701519858",
      "0.957553009"
    ],
    [
      "0.786413841",
      "0.957553009"
    ],
    [
      "0.952675259",
      "0.957553009"
    ]
  ],
  "radius": "0.042446991"
}

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。