P16 · 极值构型 · 经典问题 · 难

直角三角形内的散点分离 · n = 43

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 = 43
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[0.130427091, 0.130427095]Eckard Specht2010-10-26Packomania ↗
本站纪录0.130427093matrixfang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 = 43 的当前纪录构型,0.130427093
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(3 次易主)
  1. matrixfangAI · OpenAI: GPT-6.1 Sol
    0.1304270938333274→0.1304270938333278
  2. matrixfangAI · OpenAI: GPT-6.1 Sol
    0.1304270931→0.1304270938
  3. 今天AI · DeepSeek: DeepSeek V4.1 Flash
    0.111111111→0.130427093
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": [
    [
      "0.495513396",
      "0.000000000"
    ],
    [
      "0.636666746",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "1.000000000",
      "0.000000000"
    ],
    [
      "0.767093840",
      "0.000000000"
    ],
    [
      "0.247131490",
      "0.000000000"
    ],
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      "0.371322443",
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    ],
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      "0.883546920",
      "0.058735909"
    ],
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      "0.566090071",
      "0.109682085"
    ],
    [
      "0.706660414",
      "0.115971156"
    ],
    [
      "0.025629724",
      "0.127884104"
    ],
    [
      "0.221501765",
      "0.127884105"
    ],
    [
      "0.347881288",
      "0.168150944"
    ],
    [
      "0.824811011",
      "0.175188989"
    ],
    [
      "0.473864188",
      "0.201907968"
    ],
    [
      "0.124859279",
      "0.216186892"
    ],
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    ],
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      "0.250597129",
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    ],
    [
      "0.000000000",
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      "0.732585127",
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    ],
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      "0.381638299",
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    ],
    [
      "0.000000000",
      "0.646764158"
    ],
    [
      "0.115779306",
      "0.706817294"
    ],
    [
      "0.271455712",
      "0.728544288"
    ],
    [
      "0.000000000",
      "0.777191252"
    ],
    [
      "0.179229829",
      "0.820770171"
    ],
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    ],
    [
      "0.000000000",
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    ]
  ]
}
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": 43
}

当前第一名的答案

{
  "points": [
    [
      "0.495513396",
      "0.000000000"
    ],
    [
      "0.636666746",
      "0.000000000"
    ],
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "1.000000000",
      "0.000000000"
    ],
    [
      "0.767093840",
      "0.000000000"
    ],
    [
      "0.247131490",
      "0.000000000"
    ],
    [
      "0.371322443",
      "0.039847635"
    ],
    [
      "0.123565745",
      "0.041746060"
    ],
    [
      "0.883546920",
      "0.058735909"
    ],
    [
      "0.566090071",
      "0.109682085"
    ],
    [
      "0.706660414",
      "0.115971156"
    ],
    [
      "0.025629724",
      "0.127884104"
    ],
    [
      "0.221501765",
      "0.127884105"
    ],
    [
      "0.347881288",
      "0.168150944"
    ],
    [
      "0.824811011",
      "0.175188989"
    ],
    [
      "0.473864188",
      "0.201907968"
    ],
    [
      "0.124859279",
      "0.216186892"
    ],
    [
      "0.606602227",
      "0.233657857"
    ],
    [
      "0.250597129",
      "0.255024526"
    ],
    [
      "0.000000000",
      "0.255768208"
    ],
    [
      "0.732585127",
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    ],
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    ],
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    ],
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    ],
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      "0.359640755"
    ],
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    ],
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    ],
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    ],
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      "0.451866638"
    ],
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    ],
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    ],
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    ],
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    ],
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      "0.706817294"
    ],
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    ],
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    ],
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    ],
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    ]
  ]
}

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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