P02 · 装箱与覆盖 · 经典问题 · 基线易突破 · 难

单位圆内的等圆装箱 · n = 129

文献中也称circles in a circlepacking equal circles in a circlecci

在半径 1 的圆内放置 n 个半径相同、互不重叠的小圆,使共同半径尽可能大。

子题n = 129
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[0.0796576770671033608760031434705, 0.0796576770671033608760031434715]见来源署名packomania.com ↗
本站纪录暂无选手纪录——

严格定义

  • 容器半径 1 的圆,圆心在 (1, 1),两个坐标都在 0 到 2 之间
  • 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
挑战这个纪录 ↗

当前展示:起步布局

2y0
0x2
已验证构造r = 0.079657676

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..14 与 19 已证明;其余规模的最优性仍未知。本站接入 Packomania 中 n = 1..300 的公开构型,大规模部分集中成一张表供算法批量挑战。

查看来源
单位圆内的等圆装箱 n = 129 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

容器是半径 1 的圆,圆心在 (1, 1),所以两个坐标都在 0 到 2 之间。坐标和半径用同一个单位,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 "0.2"。

起步布局答案

{
  "centers": [
    [
      "0.862190186",
      "0.090033821"
    ],
    [
      "1.166058127",
      "0.094762633"
    ],
    [
      "0.707326855",
      "0.127433429"
    ],
    [
      "1.319682719",
      "0.13696295"
    ],
    [
      "1.013379238",
      "0.140265809"
    ],
    [
      "0.561233518",
      "0.190979626"
    ],
    [
      "1.463727971",
      "0.205024302"
    ],
    [
      "0.844843237",
      "0.248401954"
    ],
    [
      "0.428287886",
      "0.278768241"
    ],
    [
      "0.689979906",
      "0.285801561"
    ],
    [
      "1.161682329",
      "0.29236306"
    ],
    [
      "1.327406242",
      "0.296090978"
    ],
    [
      "1.593877543",
      "0.296907221"
    ],
    [
      "0.99603229",
      "0.298633941"
    ],
    [
      "0.594943961",
      "0.413666925"
    ],
    [
      "1.42446949",
      "0.422424298"
    ],
    [
      "0.278413732",
      "0.428735395"
    ],
    [
      "1.243311621",
      "0.431403493"
    ],
    [
      "1.083996279",
      "0.431463602"
    ],
    [
      "0.912246214",
      "0.434137725"
    ],
    [
      "0.752930871",
      "0.434197834"
    ],
    [
      "0.43746993",
      "0.437818774"
    ],
    [
      "1.739561777",
      "0.452205907"
    ],
    [
      "1.580283472",
      "0.455641538"
    ],
    [
      "0.350075394",
      "0.571023793"
    ],
    [
      "0.184943155",
      "0.572564974"
    ],
    [
      "1.473609507",
      "0.573971785"
    ],
    [
      "0.995663395",
      "0.574005682"
    ],
    [
      "1.314294165",
      "0.574031894"
    ],
    [
      "1.154978822",
      "0.574092002"
    ],
    [
      "0.836348136",
      "0.57421222"
    ],
    [
      "0.677032794",
      "0.574272328"
    ],
    [
      "0.517721757",
      "0.575445176"
    ],
    [
      "1.823276476",
      "0.588619147"
    ],
    [
      "1.662897969",
      "0.591862781"
    ],
    [
      "1.55619667",
      "0.710246168"
    ],
    [
      "1.394003892",
      "0.711972973"
    ],
    [
      "1.234688549",
      "0.712033082"
    ],
    [
      "1.075373206",
      "0.712093191"
    ],
    [
      "0.916057863",
      "0.712153299"
    ],
    [
      "0.756742521",
      "0.712213408"
    ],
    [
      "0.597431484",
      "0.713386256"
    ],
    [
      "0.438116141",
      "0.713446364"
    ],
    [
      "0.278800798",
      "0.713506473"
    ],
    [
      "0.120294408",
      "0.729541013"
    ],
    [
      "1.739646453",
      "0.731473139"
    ],
    [
      "1.89264183",
      "0.775900571"
    ],
    [
      "1.633028962",
      "0.849854272"
    ],
    [
      "1.473713619",
      "0.849914053"
    ],
    [
      "1.314398276",
      "0.849974162"
    ],
    [
      "1.155082933",
      "0.85003427"
    ],
    [
      "0.99576759",
      "0.850094379"
    ],
    [
      "0.836452248",
      "0.850154488"
    ],
    [
      "0.677141211",
      "0.851327335"
    ],
    [
      "0.517825868",
      "0.851387444"
    ],
    [
      "0.358510525",
      "0.851447553"
    ],
    [
      "0.159525125",
      "0.88395064"
    ],
    [
      "1.786024339",
      "0.894281703"
    ],
    [
      "1.920131159",
      "0.980286022"
    ],
    [
      "1.554423298",
      "0.988427472"
    ],
    [
      "1.395073816",
      "0.988467882"
    ],
    [
      "1.235758473",
      "0.988527991"
    ],
    [
      "1.076443131",
      "0.988588099"
    ],
    [
      "0.917127788",
      "0.988648208"
    ],
    [
      "0.757812445",
      "0.988708317"
    ],
    [
      "0.597535595",
      "0.989328524"
    ],
    [
      "0.438220252",
      "0.989388632"
    ],
    [
      "0.278904909",
      "0.989448741"
    ],
    [
      "0.07991951",
      "1.021951829"
    ],
    [
      "1.775638175",
      "1.053258147"
    ],
    [
      "1.634098896",
      "1.126388268"
    ],
    [
      "1.474783543",
      "1.126408962"
    ],
    [
      "1.3154682",
      "1.12646907"
    ],
    [
      "1.156152858",
      "1.126529179"
    ],
    [
      "0.996837515",
      "1.126589288"
    ],
    [
      "0.837522172",
      "1.126649396"
    ],
    [
      "0.678206829",
      "1.126709505"
    ],
    [
      "0.517929979",
      "1.127329712"
    ],
    [
      "0.358614636",
      "1.127389821"
    ],
    [
      "0.199299294",
      "1.12744993"
    ],
    [
      "1.909744996",
      "1.139262465"
    ],
    [
      "1.715810733",
      "1.263152875"
    ],
    [
      "1.395177927",
      "1.26441015"
    ],
    [
      "1.235862585",
      "1.264470259"
    ],
    [
      "1.076547242",
      "1.264530367"
    ],
    [
      "0.917231899",
      "1.264590476"
    ],
    [
      "0.757916556",
      "1.264650585"
    ],
    [
      "0.598601213",
      "1.264710694"
    ],
    [
      "0.118574271",
      "1.264799312"
    ],
    [
      "0.438324363",
      "1.265330901"
    ],
    [
      "0.279009021",
      "1.265391009"
    ],
    [
      "1.556513191",
      "1.265535098"
    ],
    [
      "1.872098185",
      "1.294065888"
    ],
    [
      "1.474887654",
      "1.40235123"
    ],
    [
      "1.315572312",
      "1.402411338"
    ],
    [
      "1.156256969",
      "1.402471447"
    ],
    [
      "0.996941626",
      "1.402531556"
    ],
    [
      "0.837626283",
      "1.402591665"
    ],
    [
      "0.678310941",
      "1.402651773"
    ],
    [
      "0.518995598",
      "1.402711882"
    ],
    [
      "1.652031369",
      "1.409144568"
    ],
    [
      "0.177446223",
      "1.412838075"
    ],
    [
      "0.336758227",
      "1.413871349"
    ],
    [
      "1.808318821",
      "1.440057582"
    ],
    [
      "1.5583865",
      "1.538032197"
    ],
    [
      "0.435857324",
      "1.538614088"
    ],
    [
      "1.395282039",
      "1.540352418"
    ],
    [
      "1.235966696",
      "1.540412527"
    ],
    [
      "1.076651353",
      "1.540472636"
    ],
    [
      "0.91733601",
      "1.540532744"
    ],
    [
      "0.758020668",
      "1.540592853"
    ],
    [
      "0.59838902",
      "1.540861892"
    ],
    [
      "0.267695842",
      "1.55744785"
    ],
    [
      "1.72031806",
      "1.572862884"
    ],
    [
      "1.61073286",
      "1.688502263"
    ],
    [
      "1.45142032",
      "1.689449284"
    ],
    [
      "1.292104977",
      "1.689509393"
    ],
    [
      "1.132789635",
      "1.689569501"
    ],
    [
      "0.393436",
      "1.692177799"
    ],
    [
      "0.871373743",
      "1.693074057"
    ],
    [
      "0.712058401",
      "1.693134166"
    ],
    [
      "0.552744059",
      "1.69370232"
    ],
    [
      "1.003302468",
      "1.782383595"
    ],
    [
      "1.386847991",
      "1.835091985"
    ],
    [
      "1.227532648",
      "1.835152094"
    ],
    [
      "0.779200156",
      "1.837610346"
    ],
    [
      "0.619885815",
      "1.8381785"
    ],
    [
      "1.090203312",
      "1.915911215"
    ],
    [
      "0.917531951",
      "1.916640067"
    ]
  ],
  "radius": "0.079657676"
}
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": 129
}

起步布局答案

{
  "centers": [
    [
      "0.862190186",
      "0.090033821"
    ],
    [
      "1.166058127",
      "0.094762633"
    ],
    [
      "0.707326855",
      "0.127433429"
    ],
    [
      "1.319682719",
      "0.13696295"
    ],
    [
      "1.013379238",
      "0.140265809"
    ],
    [
      "0.561233518",
      "0.190979626"
    ],
    [
      "1.463727971",
      "0.205024302"
    ],
    [
      "0.844843237",
      "0.248401954"
    ],
    [
      "0.428287886",
      "0.278768241"
    ],
    [
      "0.689979906",
      "0.285801561"
    ],
    [
      "1.161682329",
      "0.29236306"
    ],
    [
      "1.327406242",
      "0.296090978"
    ],
    [
      "1.593877543",
      "0.296907221"
    ],
    [
      "0.99603229",
      "0.298633941"
    ],
    [
      "0.594943961",
      "0.413666925"
    ],
    [
      "1.42446949",
      "0.422424298"
    ],
    [
      "0.278413732",
      "0.428735395"
    ],
    [
      "1.243311621",
      "0.431403493"
    ],
    [
      "1.083996279",
      "0.431463602"
    ],
    [
      "0.912246214",
      "0.434137725"
    ],
    [
      "0.752930871",
      "0.434197834"
    ],
    [
      "0.43746993",
      "0.437818774"
    ],
    [
      "1.739561777",
      "0.452205907"
    ],
    [
      "1.580283472",
      "0.455641538"
    ],
    [
      "0.350075394",
      "0.571023793"
    ],
    [
      "0.184943155",
      "0.572564974"
    ],
    [
      "1.473609507",
      "0.573971785"
    ],
    [
      "0.995663395",
      "0.574005682"
    ],
    [
      "1.314294165",
      "0.574031894"
    ],
    [
      "1.154978822",
      "0.574092002"
    ],
    [
      "0.836348136",
      "0.57421222"
    ],
    [
      "0.677032794",
      "0.574272328"
    ],
    [
      "0.517721757",
      "0.575445176"
    ],
    [
      "1.823276476",
      "0.588619147"
    ],
    [
      "1.662897969",
      "0.591862781"
    ],
    [
      "1.55619667",
      "0.710246168"
    ],
    [
      "1.394003892",
      "0.711972973"
    ],
    [
      "1.234688549",
      "0.712033082"
    ],
    [
      "1.075373206",
      "0.712093191"
    ],
    [
      "0.916057863",
      "0.712153299"
    ],
    [
      "0.756742521",
      "0.712213408"
    ],
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      "0.597431484",
      "0.713386256"
    ],
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      "0.438116141",
      "0.713446364"
    ],
    [
      "0.278800798",
      "0.713506473"
    ],
    [
      "0.120294408",
      "0.729541013"
    ],
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      "0.731473139"
    ],
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      "0.775900571"
    ],
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      "0.849854272"
    ],
    [
      "1.473713619",
      "0.849914053"
    ],
    [
      "1.314398276",
      "0.849974162"
    ],
    [
      "1.155082933",
      "0.85003427"
    ],
    [
      "0.99576759",
      "0.850094379"
    ],
    [
      "0.836452248",
      "0.850154488"
    ],
    [
      "0.677141211",
      "0.851327335"
    ],
    [
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      "0.851387444"
    ],
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      "0.851447553"
    ],
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      "0.88395064"
    ],
    [
      "1.786024339",
      "0.894281703"
    ],
    [
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      "0.980286022"
    ],
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      "0.988427472"
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      "0.989328524"
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      "0.989388632"
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      "0.989448741"
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      "1.053258147"
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      "1.126388268"
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      "1.126408962"
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      "1.139262465"
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      "1.263152875"
    ],
    [
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      "1.26441015"
    ],
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      "1.264470259"
    ],
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      "1.264530367"
    ],
    [
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      "1.264590476"
    ],
    [
      "0.757916556",
      "1.264650585"
    ],
    [
      "0.598601213",
      "1.264710694"
    ],
    [
      "0.118574271",
      "1.264799312"
    ],
    [
      "0.438324363",
      "1.265330901"
    ],
    [
      "0.279009021",
      "1.265391009"
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      "1.265535098"
    ],
    [
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      "1.294065888"
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    [
      "1.474887654",
      "1.40235123"
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    [
      "1.315572312",
      "1.402411338"
    ],
    [
      "1.156256969",
      "1.402471447"
    ],
    [
      "0.996941626",
      "1.402531556"
    ],
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      "0.837626283",
      "1.402591665"
    ],
    [
      "0.678310941",
      "1.402651773"
    ],
    [
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      "1.402711882"
    ],
    [
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      "1.409144568"
    ],
    [
      "0.177446223",
      "1.412838075"
    ],
    [
      "0.336758227",
      "1.413871349"
    ],
    [
      "1.808318821",
      "1.440057582"
    ],
    [
      "1.5583865",
      "1.538032197"
    ],
    [
      "0.435857324",
      "1.538614088"
    ],
    [
      "1.395282039",
      "1.540352418"
    ],
    [
      "1.235966696",
      "1.540412527"
    ],
    [
      "1.076651353",
      "1.540472636"
    ],
    [
      "0.91733601",
      "1.540532744"
    ],
    [
      "0.758020668",
      "1.540592853"
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    [
      "0.59838902",
      "1.540861892"
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      "0.267695842",
      "1.55744785"
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    [
      "1.72031806",
      "1.572862884"
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      "1.61073286",
      "1.688502263"
    ],
    [
      "1.45142032",
      "1.689449284"
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    [
      "1.292104977",
      "1.689509393"
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    [
      "1.132789635",
      "1.689569501"
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    [
      "0.393436",
      "1.692177799"
    ],
    [
      "0.871373743",
      "1.693074057"
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    [
      "0.712058401",
      "1.693134166"
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    [
      "0.552744059",
      "1.69370232"
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    [
      "1.003302468",
      "1.782383595"
    ],
    [
      "1.386847991",
      "1.835091985"
    ],
    [
      "1.227532648",
      "1.835152094"
    ],
    [
      "0.779200156",
      "1.837610346"
    ],
    [
      "0.619885815",
      "1.8381785"
    ],
    [
      "1.090203312",
      "1.915911215"
    ],
    [
      "0.917531951",
      "1.916640067"
    ]
  ],
  "radius": "0.079657676"
}

提交 radius 与 centers。每个数写成十进制字符串,例如 "0.2"。 · 验证器 v1.0.0

DISCUSSION

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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。

还没有帖子。第一个聊聊这道题的思路?