P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 95

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 = 95
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[0.0524203664955, 0.0524203664965]见来源署名packomania.com ↗
本站纪录0.052420366Ἀθηνᾶ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 = 0.052420366

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 = 95 的当前纪录构型,0.052420366
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Ἀθηνᾶ
解题方式AI · Anthropic: Claude Opus 5
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. ἈθηνᾶAI · Anthropic: Claude Opus 5
    0.052420365→0.052420366
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": [
    [
      "0.052420366",
      "0.052420366"
    ],
    [
      "0.234009843",
      "0.052420366"
    ],
    [
      "0.415599319",
      "0.052420366"
    ],
    [
      "0.597188795",
      "0.052420366"
    ],
    [
      "0.778778271",
      "0.052420366"
    ],
    [
      "0.947579084",
      "0.052598643"
    ],
    [
      "0.143215105",
      "0.104840733"
    ],
    [
      "0.324804581",
      "0.104840733"
    ],
    [
      "0.506394057",
      "0.104840733"
    ],
    [
      "0.687983533",
      "0.104840733"
    ],
    [
      "0.859192534",
      "0.119689421"
    ],
    [
      "0.052420366",
      "0.157261099"
    ],
    [
      "0.234009843",
      "0.157261099"
    ],
    [
      "0.415599319",
      "0.157261099"
    ],
    [
      "0.597188795",
      "0.157261099"
    ],
    [
      "0.768397795",
      "0.172109788"
    ],
    [
      "0.947579634",
      "0.176074702"
    ],
    [
      "0.143215105",
      "0.209681466"
    ],
    [
      "0.324804581",
      "0.209681466"
    ],
    [
      "0.506394057",
      "0.209681466"
    ],
    [
      "0.677603057",
      "0.224530154"
    ],
    [
      "0.856784895",
      "0.228495068"
    ],
    [
      "0.052420366",
      "0.262101832"
    ],
    [
      "0.234009843",
      "0.262101832"
    ],
    [
      "0.415599319",
      "0.262101832"
    ],
    [
      "0.586808319",
      "0.276950521"
    ],
    [
      "0.765990157",
      "0.280915435"
    ],
    [
      "0.947579634",
      "0.280915435"
    ],
    [
      "0.143215105",
      "0.314522199"
    ],
    [
      "0.324804581",
      "0.314522199"
    ],
    [
      "0.496013581",
      "0.329370887"
    ],
    [
      "0.675195419",
      "0.333335801"
    ],
    [
      "0.856784895",
      "0.333335801"
    ],
    [
      "0.052420366",
      "0.366942565"
    ],
    [
      "0.234009843",
      "0.366942565"
    ],
    [
      "0.405218843",
      "0.381791254"
    ],
    [
      "0.584400681",
      "0.385756168"
    ],
    [
      "0.765990157",
      "0.385756168"
    ],
    [
      "0.947579634",
      "0.385756168"
    ],
    [
      "0.143215105",
      "0.419362932"
    ],
    [
      "0.314424105",
      "0.434211620"
    ],
    [
      "0.493605943",
      "0.438176534"
    ],
    [
      "0.675195419",
      "0.438176534"
    ],
    [
      "0.856784895",
      "0.438176534"
    ],
    [
      "0.052420366",
      "0.471783298"
    ],
    [
      "0.223629367",
      "0.486631987"
    ],
    [
      "0.402811205",
      "0.490596901"
    ],
    [
      "0.584400681",
      "0.490596901"
    ],
    [
      "0.765990157",
      "0.490596901"
    ],
    [
      "0.947579634",
      "0.490596901"
    ],
    [
      "0.132834629",
      "0.539052353"
    ],
    [
      "0.312016467",
      "0.543017267"
    ],
    [
      "0.493605943",
      "0.543017267"
    ],
    [
      "0.675195419",
      "0.543017267"
    ],
    [
      "0.856784895",
      "0.543017267"
    ],
    [
      "0.221221729",
      "0.595437634"
    ],
    [
      "0.402811205",
      "0.595437634"
    ],
    [
      "0.584400681",
      "0.595437634"
    ],
    [
      "0.765990157",
      "0.595437634"
    ],
    [
      "0.947579634",
      "0.595437634"
    ],
    [
      "0.052420366",
      "0.606321408"
    ],
    [
      "0.312016467",
      "0.647858000"
    ],
    [
      "0.493605943",
      "0.647858000"
    ],
    [
      "0.675195419",
      "0.647858000"
    ],
    [
      "0.856784895",
      "0.647858000"
    ],
    [
      "0.140807466",
      "0.662706689"
    ],
    [
      "0.402811205",
      "0.700278367"
    ],
    [
      "0.584400681",
      "0.700278367"
    ],
    [
      "0.765990157",
      "0.700278367"
    ],
    [
      "0.947579634",
      "0.700278367"
    ],
    [
      "0.231602204",
      "0.715127055"
    ],
    [
      "0.052420366",
      "0.719091969"
    ],
    [
      "0.493605943",
      "0.752698733"
    ],
    [
      "0.675195419",
      "0.752698733"
    ],
    [
      "0.849378035",
      "0.763823950"
    ],
    [
      "0.322396943",
      "0.767547422"
    ],
    [
      "0.143215105",
      "0.771512336"
    ],
    [
      "0.945750271",
      "0.805103138"
    ],
    [
      "0.587056541",
      "0.813903067"
    ],
    [
      "0.052420366",
      "0.823932702"
    ],
    [
      "0.235332721",
      "0.826118394"
    ],
    [
      "0.694217349",
      "0.855799390"
    ],
    [
      "0.799058082",
      "0.855799390"
    ],
    [
      "0.377697630",
      "0.856617132"
    ],
    [
      "0.482537823",
      "0.856953594"
    ],
    [
      "0.143215105",
      "0.876353069"
    ],
    [
      "0.947579634",
      "0.909927910"
    ],
    [
      "0.640070880",
      "0.945575440"
    ],
    [
      "0.056337089",
      "0.947224717"
    ],
    [
      "0.324986148",
      "0.947243171"
    ],
    [
      "0.220145955",
      "0.947579634"
    ],
    [
      "0.429826341",
      "0.947579634"
    ],
    [
      "0.535249305",
      "0.947579634"
    ],
    [
      "0.744892454",
      "0.947579634"
    ],
    [
      "0.849733187",
      "0.947579634"
    ]
  ],
  "radius": "0.052420366"
}
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": 95
}

当前第一名的答案

{
  "centers": [
    [
      "0.052420366",
      "0.052420366"
    ],
    [
      "0.234009843",
      "0.052420366"
    ],
    [
      "0.415599319",
      "0.052420366"
    ],
    [
      "0.597188795",
      "0.052420366"
    ],
    [
      "0.778778271",
      "0.052420366"
    ],
    [
      "0.947579084",
      "0.052598643"
    ],
    [
      "0.143215105",
      "0.104840733"
    ],
    [
      "0.324804581",
      "0.104840733"
    ],
    [
      "0.506394057",
      "0.104840733"
    ],
    [
      "0.687983533",
      "0.104840733"
    ],
    [
      "0.859192534",
      "0.119689421"
    ],
    [
      "0.052420366",
      "0.157261099"
    ],
    [
      "0.234009843",
      "0.157261099"
    ],
    [
      "0.415599319",
      "0.157261099"
    ],
    [
      "0.597188795",
      "0.157261099"
    ],
    [
      "0.768397795",
      "0.172109788"
    ],
    [
      "0.947579634",
      "0.176074702"
    ],
    [
      "0.143215105",
      "0.209681466"
    ],
    [
      "0.324804581",
      "0.209681466"
    ],
    [
      "0.506394057",
      "0.209681466"
    ],
    [
      "0.677603057",
      "0.224530154"
    ],
    [
      "0.856784895",
      "0.228495068"
    ],
    [
      "0.052420366",
      "0.262101832"
    ],
    [
      "0.234009843",
      "0.262101832"
    ],
    [
      "0.415599319",
      "0.262101832"
    ],
    [
      "0.586808319",
      "0.276950521"
    ],
    [
      "0.765990157",
      "0.280915435"
    ],
    [
      "0.947579634",
      "0.280915435"
    ],
    [
      "0.143215105",
      "0.314522199"
    ],
    [
      "0.324804581",
      "0.314522199"
    ],
    [
      "0.496013581",
      "0.329370887"
    ],
    [
      "0.675195419",
      "0.333335801"
    ],
    [
      "0.856784895",
      "0.333335801"
    ],
    [
      "0.052420366",
      "0.366942565"
    ],
    [
      "0.234009843",
      "0.366942565"
    ],
    [
      "0.405218843",
      "0.381791254"
    ],
    [
      "0.584400681",
      "0.385756168"
    ],
    [
      "0.765990157",
      "0.385756168"
    ],
    [
      "0.947579634",
      "0.385756168"
    ],
    [
      "0.143215105",
      "0.419362932"
    ],
    [
      "0.314424105",
      "0.434211620"
    ],
    [
      "0.493605943",
      "0.438176534"
    ],
    [
      "0.675195419",
      "0.438176534"
    ],
    [
      "0.856784895",
      "0.438176534"
    ],
    [
      "0.052420366",
      "0.471783298"
    ],
    [
      "0.223629367",
      "0.486631987"
    ],
    [
      "0.402811205",
      "0.490596901"
    ],
    [
      "0.584400681",
      "0.490596901"
    ],
    [
      "0.765990157",
      "0.490596901"
    ],
    [
      "0.947579634",
      "0.490596901"
    ],
    [
      "0.132834629",
      "0.539052353"
    ],
    [
      "0.312016467",
      "0.543017267"
    ],
    [
      "0.493605943",
      "0.543017267"
    ],
    [
      "0.675195419",
      "0.543017267"
    ],
    [
      "0.856784895",
      "0.543017267"
    ],
    [
      "0.221221729",
      "0.595437634"
    ],
    [
      "0.402811205",
      "0.595437634"
    ],
    [
      "0.584400681",
      "0.595437634"
    ],
    [
      "0.765990157",
      "0.595437634"
    ],
    [
      "0.947579634",
      "0.595437634"
    ],
    [
      "0.052420366",
      "0.606321408"
    ],
    [
      "0.312016467",
      "0.647858000"
    ],
    [
      "0.493605943",
      "0.647858000"
    ],
    [
      "0.675195419",
      "0.647858000"
    ],
    [
      "0.856784895",
      "0.647858000"
    ],
    [
      "0.140807466",
      "0.662706689"
    ],
    [
      "0.402811205",
      "0.700278367"
    ],
    [
      "0.584400681",
      "0.700278367"
    ],
    [
      "0.765990157",
      "0.700278367"
    ],
    [
      "0.947579634",
      "0.700278367"
    ],
    [
      "0.231602204",
      "0.715127055"
    ],
    [
      "0.052420366",
      "0.719091969"
    ],
    [
      "0.493605943",
      "0.752698733"
    ],
    [
      "0.675195419",
      "0.752698733"
    ],
    [
      "0.849378035",
      "0.763823950"
    ],
    [
      "0.322396943",
      "0.767547422"
    ],
    [
      "0.143215105",
      "0.771512336"
    ],
    [
      "0.945750271",
      "0.805103138"
    ],
    [
      "0.587056541",
      "0.813903067"
    ],
    [
      "0.052420366",
      "0.823932702"
    ],
    [
      "0.235332721",
      "0.826118394"
    ],
    [
      "0.694217349",
      "0.855799390"
    ],
    [
      "0.799058082",
      "0.855799390"
    ],
    [
      "0.377697630",
      "0.856617132"
    ],
    [
      "0.482537823",
      "0.856953594"
    ],
    [
      "0.143215105",
      "0.876353069"
    ],
    [
      "0.947579634",
      "0.909927910"
    ],
    [
      "0.640070880",
      "0.945575440"
    ],
    [
      "0.056337089",
      "0.947224717"
    ],
    [
      "0.324986148",
      "0.947243171"
    ],
    [
      "0.220145955",
      "0.947579634"
    ],
    [
      "0.429826341",
      "0.947579634"
    ],
    [
      "0.535249305",
      "0.947579634"
    ],
    [
      "0.744892454",
      "0.947579634"
    ],
    [
      "0.849733187",
      "0.947579634"
    ]
  ],
  "radius": "0.052420366"
}

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。