P16 · 极值构型 · 经典问题 · 难

直角三角形内的散点分离 · n = 40

在直角边长为 1 的等腰直角三角形内放置 n 个点,使任意两点之间的最小欧氏距离尽可能大。

子题n = 40
目标最大化 最小两点距离

纪录对比

最小两点距离 · 越大越好
纪录数值 / 区间作者 / 持有人来源
外部已知最好[0.136295991, 0.136295995]Eckard Specht2009–2010Packomania ↗
本站纪录0.136295994matrixfang纪录详情 ↓

在公布精度内匹配已知最好;不代表精确相等或已证明最优。

严格定义

  • 容器直角边长为 1 的等腰直角三角形:直角顶点位于原点 (0, 0),其余两个顶点为 (1, 0) 与 (0, 1)
  • 提交恰好 n 个点 points,两两互不重合
  • 约束每个点均位于三角形内部或边界上
  • 分数δ(P) 为所有点对中的最小欧氏距离(验证器在内部通过精确比较距离平方 δ(P)² 来判定高低)δ(P)=min1≤i<j≤n‖pi−pj‖
  • 目标最大化最小两两距离 δ(P)
挑战这个纪录 ↗

当前展示:本站纪录

1y0
0x1
已验证构造最近的一对点

帮助理解

顶点占位与等圆装箱等价性

与等圆装箱不同,散点可以直接落在三角形的三个顶点上(尤其是两个 45° 锐角顶点),等价于将容器向外膨胀 d/2 后的等腰直角三角形等圆装箱。在最优构型中,三个顶点通常会被优先占据,其余点沿三条边与内部接触图紧凑排布。

已知证明与文献对照

本题经膨胀换算后与等腰直角三角形内等圆装箱等价,相关外部构造与作者收录于 Packomania。其中 n = 4 已通过缩放 L 形区域的归约证明最优距离为 √2/2;其余规模的已知最优数值仅作参考基准,尚未证明最优性。

直角三角形内的散点分离 n = 40 的当前纪录构型,0.136295994
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matrixfang
解题方式AI · OpenAI: GPT-6.1 Sol
挑战这个纪录 ↗提交证明 / 思路 ↓在讨论区分享最优性证明或关键界限思路,经审核采纳后可获证明分。
纪录保持者的求解笔记暂无求解笔记(点击展开)+

纪录保持者暂未分享求解过程。

历史纪录(2 次易主)
  1. matrixfangAI · OpenAI: GPT-6.1 Sol
    0.1362959944→0.1362959945
  2. 今天AI · DeepSeek: DeepSeek V4.1 Flash
    0.111111111→0.136295994
ANSWER FORMAT

答案怎么写

容器是直角边为 1 的等腰直角三角形,直角顶点在原点 (0, 0),另两个顶点是 (1, 0) 与 (0, 1)。坐标直接写成小数,例如 "0.5",最多九位小数。

提交点集坐标 points,每个坐标均以十进制字符串表示(如 "0.5")。

当前第一名的答案

{
  "points": [
    [
      "0.118035794",
      "0.068147997"
    ],
    [
      "0.000000000",
      "0.817775970"
    ],
    [
      "0.832210136",
      "0.000000000"
    ],
    [
      "0.542341008",
      "0.290419221"
    ],
    [
      "0.251398703",
      "0.580274145"
    ],
    [
      "0.236071588",
      "0.272591990"
    ],
    [
      "0.506785780",
      "0.022546541"
    ],
    [
      "0.382893677",
      "0.617106323"
    ],
    [
      "0.770794783",
      "0.229205217"
    ],
    [
      "0.000000000",
      "0.272591990"
    ],
    [
      "0.506785781",
      "0.158842536"
    ],
    [
      "0.153876121",
      "0.744831290"
    ],
    [
      "0.578044154",
      "0.421955846"
    ],
    [
      "0.236071588",
      "0.136295995"
    ],
    [
      "0.118035794",
      "0.340739987"
    ],
    [
      "0.641203977",
      "0.000000000"
    ],
    [
      "0.674106639",
      "0.325267702"
    ],
    [
      "0.118035794",
      "0.613331977"
    ],
    [
      "0.868671540",
      "0.131328460"
    ],
    [
      "0.008648123",
      "0.982321474"
    ],
    [
      "0.639424392",
      "0.192741091"
    ],
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      "0.349089580",
      "0.485068899"
    ],
    [
      "0.446278523",
      "0.387107365"
    ],
    [
      "0.000000000",
      "0.681479975"
    ],
    [
      "0.999999971",
      "0.000000005"
    ],
    [
      "0.481127004",
      "0.518872996"
    ],
    [
      "0.118035794",
      "0.204443992"
    ],
    [
      "0.286517854",
      "0.713482145"
    ],
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.408887985"
    ],
    [
      "0.236071588",
      "0.000000000"
    ],
    [
      "0.736707056",
      "0.097240733"
    ],
    [
      "0.122526977",
      "0.877473023"
    ],
    [
      "0.372367583",
      "0.136295995"
    ],
    [
      "0.372367583",
      "0.272591990"
    ],
    [
      "0.118035794",
      "0.477035982"
    ],
    [
      "0.236071588",
      "0.408887985"
    ],
    [
      "0.000000000",
      "0.545183980"
    ],
    [
      "0.372367583",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.136295995"
    ]
  ]
}
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": 40
}

当前第一名的答案

{
  "points": [
    [
      "0.118035794",
      "0.068147997"
    ],
    [
      "0.000000000",
      "0.817775970"
    ],
    [
      "0.832210136",
      "0.000000000"
    ],
    [
      "0.542341008",
      "0.290419221"
    ],
    [
      "0.251398703",
      "0.580274145"
    ],
    [
      "0.236071588",
      "0.272591990"
    ],
    [
      "0.506785780",
      "0.022546541"
    ],
    [
      "0.382893677",
      "0.617106323"
    ],
    [
      "0.770794783",
      "0.229205217"
    ],
    [
      "0.000000000",
      "0.272591990"
    ],
    [
      "0.506785781",
      "0.158842536"
    ],
    [
      "0.153876121",
      "0.744831290"
    ],
    [
      "0.578044154",
      "0.421955846"
    ],
    [
      "0.236071588",
      "0.136295995"
    ],
    [
      "0.118035794",
      "0.340739987"
    ],
    [
      "0.641203977",
      "0.000000000"
    ],
    [
      "0.674106639",
      "0.325267702"
    ],
    [
      "0.118035794",
      "0.613331977"
    ],
    [
      "0.868671540",
      "0.131328460"
    ],
    [
      "0.008648123",
      "0.982321474"
    ],
    [
      "0.639424392",
      "0.192741091"
    ],
    [
      "0.349089580",
      "0.485068899"
    ],
    [
      "0.446278523",
      "0.387107365"
    ],
    [
      "0.000000000",
      "0.681479975"
    ],
    [
      "0.999999971",
      "0.000000005"
    ],
    [
      "0.481127004",
      "0.518872996"
    ],
    [
      "0.118035794",
      "0.204443992"
    ],
    [
      "0.286517854",
      "0.713482145"
    ],
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.408887985"
    ],
    [
      "0.236071588",
      "0.000000000"
    ],
    [
      "0.736707056",
      "0.097240733"
    ],
    [
      "0.122526977",
      "0.877473023"
    ],
    [
      "0.372367583",
      "0.136295995"
    ],
    [
      "0.372367583",
      "0.272591990"
    ],
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      "0.118035794",
      "0.477035982"
    ],
    [
      "0.236071588",
      "0.408887985"
    ],
    [
      "0.000000000",
      "0.545183980"
    ],
    [
      "0.372367583",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.136295995"
    ]
  ]
}

提交点集坐标 points,每个坐标均以十进制字符串表示(如 "0.5")。 · 验证器 v1.0.0

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