P01 · 装箱与覆盖 · 经典问题 · 难

单位正方形内的等圆装箱 · n = 192

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 = 192
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[0.0374443353665, 0.0374443353675]见来源署名packomania.com ↗
本站纪录0.037444335Ἀθηνᾶ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 = 0.037444335

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 = 192 的当前纪录构型,0.037444335
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
    0.037444334→0.037444335
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": [
    [
      "0.037444335",
      "0.037444335"
    ],
    [
      "0.167155318",
      "0.037444335"
    ],
    [
      "0.296866301",
      "0.037444335"
    ],
    [
      "0.893626510",
      "0.037444335"
    ],
    [
      "0.426577327",
      "0.037444335"
    ],
    [
      "0.501465998",
      "0.037444335"
    ],
    [
      "0.763126347",
      "0.037444335"
    ],
    [
      "0.633339492",
      "0.037444335"
    ],
    [
      "0.962551920",
      "0.066739620"
    ],
    [
      "0.567402745",
      "0.072950086"
    ],
    [
      "0.828376429",
      "0.074196748"
    ],
    [
      "0.698232920",
      "0.074822886"
    ],
    [
      "0.361721814",
      "0.074888633"
    ],
    [
      "0.102299827",
      "0.074888671"
    ],
    [
      "0.232010809",
      "0.074888671"
    ],
    [
      "0.503685489",
      "0.112300109"
    ],
    [
      "0.428723499",
      "0.112318428"
    ],
    [
      "0.763922865",
      "0.112328770"
    ],
    [
      "0.633415431",
      "0.112332968"
    ],
    [
      "0.893636292",
      "0.112333005"
    ],
    [
      "0.037444335",
      "0.112333006"
    ],
    [
      "0.296866301",
      "0.112333006"
    ],
    [
      "0.167155318",
      "0.112333006"
    ],
    [
      "0.962555665",
      "0.141632035"
    ],
    [
      "0.699045733",
      "0.149735624"
    ],
    [
      "0.568540980",
      "0.149744444"
    ],
    [
      "0.828778356",
      "0.149773105"
    ],
    [
      "0.361721814",
      "0.149777304"
    ],
    [
      "0.102299827",
      "0.149777341"
    ],
    [
      "0.232010809",
      "0.149777341"
    ],
    [
      "0.501465947",
      "0.187155881"
    ],
    [
      "0.634211860",
      "0.187217403"
    ],
    [
      "0.763922865",
      "0.187217441"
    ],
    [
      "0.426577305",
      "0.187221639"
    ],
    [
      "0.893636292",
      "0.187221676"
    ],
    [
      "0.296866301",
      "0.187221677"
    ],
    [
      "0.167155318",
      "0.187221677"
    ],
    [
      "0.037444335",
      "0.187221677"
    ],
    [
      "0.962555665",
      "0.216520706"
    ],
    [
      "0.566321438",
      "0.224600217"
    ],
    [
      "0.699067352",
      "0.224661738"
    ],
    [
      "0.828778356",
      "0.224661776"
    ],
    [
      "0.361721814",
      "0.224665974"
    ],
    [
      "0.232010809",
      "0.224666012"
    ],
    [
      "0.102299827",
      "0.224666012"
    ],
    [
      "0.631176930",
      "0.262044552"
    ],
    [
      "0.501465947",
      "0.262044552"
    ],
    [
      "0.763922865",
      "0.262106111"
    ],
    [
      "0.426577305",
      "0.262110310"
    ],
    [
      "0.893636292",
      "0.262110347"
    ],
    [
      "0.037444335",
      "0.262110348"
    ],
    [
      "0.296866301",
      "0.262110348"
    ],
    [
      "0.167155318",
      "0.262110348"
    ],
    [
      "0.962555665",
      "0.291409377"
    ],
    [
      "0.566321438",
      "0.299488887"
    ],
    [
      "0.696032421",
      "0.299488887"
    ],
    [
      "0.828778356",
      "0.299550447"
    ],
    [
      "0.361721814",
      "0.299554645"
    ],
    [
      "0.102299827",
      "0.299554683"
    ],
    [
      "0.232010809",
      "0.299554683"
    ],
    [
      "0.501465947",
      "0.336933223"
    ],
    [
      "0.631176930",
      "0.336933223"
    ],
    [
      "0.760887934",
      "0.336933260"
    ],
    [
      "0.426577305",
      "0.336998981"
    ],
    [
      "0.893636292",
      "0.336999017"
    ],
    [
      "0.037444335",
      "0.336999018"
    ],
    [
      "0.167155318",
      "0.336999018"
    ],
    [
      "0.296866301",
      "0.336999018"
    ],
    [
      "0.962555665",
      "0.366298047"
    ],
    [
      "0.566321438",
      "0.374377558"
    ],
    [
      "0.696032421",
      "0.374377558"
    ],
    [
      "0.825743425",
      "0.374377596"
    ],
    [
      "0.361721814",
      "0.374443316"
    ],
    [
      "0.232010809",
      "0.374443354"
    ],
    [
      "0.102299827",
      "0.374443354"
    ],
    [
      "0.631176930",
      "0.411821894"
    ],
    [
      "0.501465947",
      "0.411821894"
    ],
    [
      "0.760887934",
      "0.411821931"
    ],
    [
      "0.890601362",
      "0.411826166"
    ],
    [
      "0.426577305",
      "0.411887651"
    ],
    [
      "0.167155318",
      "0.411887689"
    ],
    [
      "0.296866301",
      "0.411887689"
    ],
    [
      "0.037444335",
      "0.411887689"
    ],
    [
      "0.959520734",
      "0.441125196"
    ],
    [
      "0.696032421",
      "0.449266229"
    ],
    [
      "0.566321438",
      "0.449266229"
    ],
    [
      "0.825743425",
      "0.449266266"
    ],
    [
      "0.361721814",
      "0.449331987"
    ],
    [
      "0.102299827",
      "0.449332024"
    ],
    [
      "0.232010809",
      "0.449332024"
    ],
    [
      "0.893636292",
      "0.486653315"
    ],
    [
      "0.631176930",
      "0.486710564"
    ],
    [
      "0.501465947",
      "0.486710564"
    ],
    [
      "0.760887934",
      "0.486710602"
    ],
    [
      "0.426577305",
      "0.486776322"
    ],
    [
      "0.296866301",
      "0.486776360"
    ],
    [
      "0.167155318",
      "0.486776360"
    ],
    [
      "0.037444335",
      "0.486776360"
    ],
    [
      "0.962555665",
      "0.515952345"
    ],
    [
      "0.828778356",
      "0.524093415"
    ],
    [
      "0.566321438",
      "0.524154900"
    ],
    [
      "0.696032421",
      "0.524154899"
    ],
    [
      "0.361721814",
      "0.524220657"
    ],
    [
      "0.102299827",
      "0.524220695"
    ],
    [
      "0.232010809",
      "0.524220695"
    ],
    [
      "0.763922865",
      "0.561537751"
    ],
    [
      "0.893636292",
      "0.561541986"
    ],
    [
      "0.631176930",
      "0.561599235"
    ],
    [
      "0.501465947",
      "0.561599235"
    ],
    [
      "0.426577305",
      "0.561664993"
    ],
    [
      "0.037444335",
      "0.561665031"
    ],
    [
      "0.296866301",
      "0.561665031"
    ],
    [
      "0.167155318",
      "0.561665031"
    ],
    [
      "0.962555665",
      "0.590841016"
    ],
    [
      "0.699067352",
      "0.598982048"
    ],
    [
      "0.828778356",
      "0.598982086"
    ],
    [
      "0.566321438",
      "0.599043570"
    ],
    [
      "0.361721814",
      "0.599109328"
    ],
    [
      "0.102299827",
      "0.599109366"
    ],
    [
      "0.232010809",
      "0.599109366"
    ],
    [
      "0.634211860",
      "0.636426384"
    ],
    [
      "0.763922865",
      "0.636426421"
    ],
    [
      "0.893636292",
      "0.636430657"
    ],
    [
      "0.501465947",
      "0.636487906"
    ],
    [
      "0.426577305",
      "0.636553663"
    ],
    [
      "0.296866301",
      "0.636553701"
    ],
    [
      "0.167155318",
      "0.636553701"
    ],
    [
      "0.037444335",
      "0.636553701"
    ],
    [
      "0.962555665",
      "0.665729686"
    ],
    [
      "0.699067352",
      "0.673870719"
    ],
    [
      "0.569356369",
      "0.673870719"
    ],
    [
      "0.828778356",
      "0.673870757"
    ],
    [
      "0.361721814",
      "0.673997999"
    ],
    [
      "0.232010809",
      "0.673998037"
    ],
    [
      "0.102299827",
      "0.673998037"
    ],
    [
      "0.504500878",
      "0.711315055"
    ],
    [
      "0.634211860",
      "0.711315055"
    ],
    [
      "0.763922865",
      "0.711315092"
    ],
    [
      "0.893636292",
      "0.711319327"
    ],
    [
      "0.426577305",
      "0.711442334"
    ],
    [
      "0.296866301",
      "0.711442372"
    ],
    [
      "0.167155318",
      "0.711442372"
    ],
    [
      "0.037444335",
      "0.711442372"
    ],
    [
      "0.962555665",
      "0.740618357"
    ],
    [
      "0.569356369",
      "0.748759390"
    ],
    [
      "0.699067352",
      "0.748759390"
    ],
    [
      "0.828778356",
      "0.748759427"
    ],
    [
      "0.361721814",
      "0.748886670"
    ],
    [
      "0.102299827",
      "0.748886707"
    ],
    [
      "0.232010809",
      "0.748886707"
    ],
    [
      "0.465643555",
      "0.775333970"
    ],
    [
      "0.634211860",
      "0.786203725"
    ],
    [
      "0.763922865",
      "0.786203763"
    ],
    [
      "0.893636292",
      "0.786207998"
    ],
    [
      "0.037444335",
      "0.786331043"
    ],
    [
      "0.167155318",
      "0.786331043"
    ],
    [
      "0.296866301",
      "0.786331043"
    ],
    [
      "0.530499047",
      "0.812778305"
    ],
    [
      "0.400788064",
      "0.812778305"
    ],
    [
      "0.962555665",
      "0.815507028"
    ],
    [
      "0.699067352",
      "0.823648061"
    ],
    [
      "0.828778356",
      "0.823648098"
    ],
    [
      "0.232010809",
      "0.823775378"
    ],
    [
      "0.102299827",
      "0.823775378"
    ],
    [
      "0.465643555",
      "0.850222640"
    ],
    [
      "0.595354538",
      "0.850222640"
    ],
    [
      "0.335932583",
      "0.850222659"
    ],
    [
      "0.763922865",
      "0.861092434"
    ],
    [
      "0.893636292",
      "0.861096669"
    ],
    [
      "0.167155318",
      "0.861219713"
    ],
    [
      "0.037444335",
      "0.861219713"
    ],
    [
      "0.530499047",
      "0.887666976"
    ],
    [
      "0.660210029",
      "0.887666976"
    ],
    [
      "0.400788074",
      "0.887666994"
    ],
    [
      "0.271077092",
      "0.887666994"
    ],
    [
      "0.962555665",
      "0.890395699"
    ],
    [
      "0.828778356",
      "0.898536769"
    ],
    [
      "0.102299827",
      "0.898664049"
    ],
    [
      "0.595354538",
      "0.925111311"
    ],
    [
      "0.335932583",
      "0.925111329"
    ],
    [
      "0.725065510",
      "0.925111329"
    ],
    [
      "0.206221601",
      "0.925111329"
    ],
    [
      "0.465643566",
      "0.925111329"
    ],
    [
      "0.044933202",
      "0.955066798"
    ],
    [
      "0.789921001",
      "0.962555665"
    ],
    [
      "0.141366109",
      "0.962555665"
    ],
    [
      "0.400788074",
      "0.962555665"
    ],
    [
      "0.530499057",
      "0.962555665"
    ],
    [
      "0.942524381",
      "0.962555665"
    ],
    [
      "0.867635711",
      "0.962555665"
    ],
    [
      "0.660210019",
      "0.962555665"
    ],
    [
      "0.271077092",
      "0.962555665"
    ]
  ],
  "radius": "0.037444335"
}
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": 192
}

当前第一名的答案

{
  "centers": [
    [
      "0.037444335",
      "0.037444335"
    ],
    [
      "0.167155318",
      "0.037444335"
    ],
    [
      "0.296866301",
      "0.037444335"
    ],
    [
      "0.893626510",
      "0.037444335"
    ],
    [
      "0.426577327",
      "0.037444335"
    ],
    [
      "0.501465998",
      "0.037444335"
    ],
    [
      "0.763126347",
      "0.037444335"
    ],
    [
      "0.633339492",
      "0.037444335"
    ],
    [
      "0.962551920",
      "0.066739620"
    ],
    [
      "0.567402745",
      "0.072950086"
    ],
    [
      "0.828376429",
      "0.074196748"
    ],
    [
      "0.698232920",
      "0.074822886"
    ],
    [
      "0.361721814",
      "0.074888633"
    ],
    [
      "0.102299827",
      "0.074888671"
    ],
    [
      "0.232010809",
      "0.074888671"
    ],
    [
      "0.503685489",
      "0.112300109"
    ],
    [
      "0.428723499",
      "0.112318428"
    ],
    [
      "0.763922865",
      "0.112328770"
    ],
    [
      "0.633415431",
      "0.112332968"
    ],
    [
      "0.893636292",
      "0.112333005"
    ],
    [
      "0.037444335",
      "0.112333006"
    ],
    [
      "0.296866301",
      "0.112333006"
    ],
    [
      "0.167155318",
      "0.112333006"
    ],
    [
      "0.962555665",
      "0.141632035"
    ],
    [
      "0.699045733",
      "0.149735624"
    ],
    [
      "0.568540980",
      "0.149744444"
    ],
    [
      "0.828778356",
      "0.149773105"
    ],
    [
      "0.361721814",
      "0.149777304"
    ],
    [
      "0.102299827",
      "0.149777341"
    ],
    [
      "0.232010809",
      "0.149777341"
    ],
    [
      "0.501465947",
      "0.187155881"
    ],
    [
      "0.634211860",
      "0.187217403"
    ],
    [
      "0.763922865",
      "0.187217441"
    ],
    [
      "0.426577305",
      "0.187221639"
    ],
    [
      "0.893636292",
      "0.187221676"
    ],
    [
      "0.296866301",
      "0.187221677"
    ],
    [
      "0.167155318",
      "0.187221677"
    ],
    [
      "0.037444335",
      "0.187221677"
    ],
    [
      "0.962555665",
      "0.216520706"
    ],
    [
      "0.566321438",
      "0.224600217"
    ],
    [
      "0.699067352",
      "0.224661738"
    ],
    [
      "0.828778356",
      "0.224661776"
    ],
    [
      "0.361721814",
      "0.224665974"
    ],
    [
      "0.232010809",
      "0.224666012"
    ],
    [
      "0.102299827",
      "0.224666012"
    ],
    [
      "0.631176930",
      "0.262044552"
    ],
    [
      "0.501465947",
      "0.262044552"
    ],
    [
      "0.763922865",
      "0.262106111"
    ],
    [
      "0.426577305",
      "0.262110310"
    ],
    [
      "0.893636292",
      "0.262110347"
    ],
    [
      "0.037444335",
      "0.262110348"
    ],
    [
      "0.296866301",
      "0.262110348"
    ],
    [
      "0.167155318",
      "0.262110348"
    ],
    [
      "0.962555665",
      "0.291409377"
    ],
    [
      "0.566321438",
      "0.299488887"
    ],
    [
      "0.696032421",
      "0.299488887"
    ],
    [
      "0.828778356",
      "0.299550447"
    ],
    [
      "0.361721814",
      "0.299554645"
    ],
    [
      "0.102299827",
      "0.299554683"
    ],
    [
      "0.232010809",
      "0.299554683"
    ],
    [
      "0.501465947",
      "0.336933223"
    ],
    [
      "0.631176930",
      "0.336933223"
    ],
    [
      "0.760887934",
      "0.336933260"
    ],
    [
      "0.426577305",
      "0.336998981"
    ],
    [
      "0.893636292",
      "0.336999017"
    ],
    [
      "0.037444335",
      "0.336999018"
    ],
    [
      "0.167155318",
      "0.336999018"
    ],
    [
      "0.296866301",
      "0.336999018"
    ],
    [
      "0.962555665",
      "0.366298047"
    ],
    [
      "0.566321438",
      "0.374377558"
    ],
    [
      "0.696032421",
      "0.374377558"
    ],
    [
      "0.825743425",
      "0.374377596"
    ],
    [
      "0.361721814",
      "0.374443316"
    ],
    [
      "0.232010809",
      "0.374443354"
    ],
    [
      "0.102299827",
      "0.374443354"
    ],
    [
      "0.631176930",
      "0.411821894"
    ],
    [
      "0.501465947",
      "0.411821894"
    ],
    [
      "0.760887934",
      "0.411821931"
    ],
    [
      "0.890601362",
      "0.411826166"
    ],
    [
      "0.426577305",
      "0.411887651"
    ],
    [
      "0.167155318",
      "0.411887689"
    ],
    [
      "0.296866301",
      "0.411887689"
    ],
    [
      "0.037444335",
      "0.411887689"
    ],
    [
      "0.959520734",
      "0.441125196"
    ],
    [
      "0.696032421",
      "0.449266229"
    ],
    [
      "0.566321438",
      "0.449266229"
    ],
    [
      "0.825743425",
      "0.449266266"
    ],
    [
      "0.361721814",
      "0.449331987"
    ],
    [
      "0.102299827",
      "0.449332024"
    ],
    [
      "0.232010809",
      "0.449332024"
    ],
    [
      "0.893636292",
      "0.486653315"
    ],
    [
      "0.631176930",
      "0.486710564"
    ],
    [
      "0.501465947",
      "0.486710564"
    ],
    [
      "0.760887934",
      "0.486710602"
    ],
    [
      "0.426577305",
      "0.486776322"
    ],
    [
      "0.296866301",
      "0.486776360"
    ],
    [
      "0.167155318",
      "0.486776360"
    ],
    [
      "0.037444335",
      "0.486776360"
    ],
    [
      "0.962555665",
      "0.515952345"
    ],
    [
      "0.828778356",
      "0.524093415"
    ],
    [
      "0.566321438",
      "0.524154900"
    ],
    [
      "0.696032421",
      "0.524154899"
    ],
    [
      "0.361721814",
      "0.524220657"
    ],
    [
      "0.102299827",
      "0.524220695"
    ],
    [
      "0.232010809",
      "0.524220695"
    ],
    [
      "0.763922865",
      "0.561537751"
    ],
    [
      "0.893636292",
      "0.561541986"
    ],
    [
      "0.631176930",
      "0.561599235"
    ],
    [
      "0.501465947",
      "0.561599235"
    ],
    [
      "0.426577305",
      "0.561664993"
    ],
    [
      "0.037444335",
      "0.561665031"
    ],
    [
      "0.296866301",
      "0.561665031"
    ],
    [
      "0.167155318",
      "0.561665031"
    ],
    [
      "0.962555665",
      "0.590841016"
    ],
    [
      "0.699067352",
      "0.598982048"
    ],
    [
      "0.828778356",
      "0.598982086"
    ],
    [
      "0.566321438",
      "0.599043570"
    ],
    [
      "0.361721814",
      "0.599109328"
    ],
    [
      "0.102299827",
      "0.599109366"
    ],
    [
      "0.232010809",
      "0.599109366"
    ],
    [
      "0.634211860",
      "0.636426384"
    ],
    [
      "0.763922865",
      "0.636426421"
    ],
    [
      "0.893636292",
      "0.636430657"
    ],
    [
      "0.501465947",
      "0.636487906"
    ],
    [
      "0.426577305",
      "0.636553663"
    ],
    [
      "0.296866301",
      "0.636553701"
    ],
    [
      "0.167155318",
      "0.636553701"
    ],
    [
      "0.037444335",
      "0.636553701"
    ],
    [
      "0.962555665",
      "0.665729686"
    ],
    [
      "0.699067352",
      "0.673870719"
    ],
    [
      "0.569356369",
      "0.673870719"
    ],
    [
      "0.828778356",
      "0.673870757"
    ],
    [
      "0.361721814",
      "0.673997999"
    ],
    [
      "0.232010809",
      "0.673998037"
    ],
    [
      "0.102299827",
      "0.673998037"
    ],
    [
      "0.504500878",
      "0.711315055"
    ],
    [
      "0.634211860",
      "0.711315055"
    ],
    [
      "0.763922865",
      "0.711315092"
    ],
    [
      "0.893636292",
      "0.711319327"
    ],
    [
      "0.426577305",
      "0.711442334"
    ],
    [
      "0.296866301",
      "0.711442372"
    ],
    [
      "0.167155318",
      "0.711442372"
    ],
    [
      "0.037444335",
      "0.711442372"
    ],
    [
      "0.962555665",
      "0.740618357"
    ],
    [
      "0.569356369",
      "0.748759390"
    ],
    [
      "0.699067352",
      "0.748759390"
    ],
    [
      "0.828778356",
      "0.748759427"
    ],
    [
      "0.361721814",
      "0.748886670"
    ],
    [
      "0.102299827",
      "0.748886707"
    ],
    [
      "0.232010809",
      "0.748886707"
    ],
    [
      "0.465643555",
      "0.775333970"
    ],
    [
      "0.634211860",
      "0.786203725"
    ],
    [
      "0.763922865",
      "0.786203763"
    ],
    [
      "0.893636292",
      "0.786207998"
    ],
    [
      "0.037444335",
      "0.786331043"
    ],
    [
      "0.167155318",
      "0.786331043"
    ],
    [
      "0.296866301",
      "0.786331043"
    ],
    [
      "0.530499047",
      "0.812778305"
    ],
    [
      "0.400788064",
      "0.812778305"
    ],
    [
      "0.962555665",
      "0.815507028"
    ],
    [
      "0.699067352",
      "0.823648061"
    ],
    [
      "0.828778356",
      "0.823648098"
    ],
    [
      "0.232010809",
      "0.823775378"
    ],
    [
      "0.102299827",
      "0.823775378"
    ],
    [
      "0.465643555",
      "0.850222640"
    ],
    [
      "0.595354538",
      "0.850222640"
    ],
    [
      "0.335932583",
      "0.850222659"
    ],
    [
      "0.763922865",
      "0.861092434"
    ],
    [
      "0.893636292",
      "0.861096669"
    ],
    [
      "0.167155318",
      "0.861219713"
    ],
    [
      "0.037444335",
      "0.861219713"
    ],
    [
      "0.530499047",
      "0.887666976"
    ],
    [
      "0.660210029",
      "0.887666976"
    ],
    [
      "0.400788074",
      "0.887666994"
    ],
    [
      "0.271077092",
      "0.887666994"
    ],
    [
      "0.962555665",
      "0.890395699"
    ],
    [
      "0.828778356",
      "0.898536769"
    ],
    [
      "0.102299827",
      "0.898664049"
    ],
    [
      "0.595354538",
      "0.925111311"
    ],
    [
      "0.335932583",
      "0.925111329"
    ],
    [
      "0.725065510",
      "0.925111329"
    ],
    [
      "0.206221601",
      "0.925111329"
    ],
    [
      "0.465643566",
      "0.925111329"
    ],
    [
      "0.044933202",
      "0.955066798"
    ],
    [
      "0.789921001",
      "0.962555665"
    ],
    [
      "0.141366109",
      "0.962555665"
    ],
    [
      "0.400788074",
      "0.962555665"
    ],
    [
      "0.530499057",
      "0.962555665"
    ],
    [
      "0.942524381",
      "0.962555665"
    ],
    [
      "0.867635711",
      "0.962555665"
    ],
    [
      "0.660210019",
      "0.962555665"
    ],
    [
      "0.271077092",
      "0.962555665"
    ]
  ],
  "radius": "0.037444335"
}

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。