P16 · 极值构型 · 经典问题 · 难

直角三角形内的散点分离 · n = 58

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 = 58

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	[0.110328822, 0.110328826]	Eckard Specht2009–2010	Packomania ↗
本站纪录	0.110328825	matrixfang	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） $δ (P) = \min_{1 \leq i < j \leq n} ‖ p_{i} - p_{j} ‖$
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

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758

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。

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）

matrixfangAI · OpenAI: GPT-6.1 Sol
0.1103288250000000→0.1103288250000001
2026-10-18
matrixfangAI · OpenAI: GPT-6.1 Sol
0.110328825000000000→0.110328825000000004
2026-10-18
matrixfangAI · OpenAI: GPT-6.1 Sol
0.09090909→0.110328825
2026-10-18

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": [
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "0.191095130",
      "0.000000000"
    ],
    [
      "0.381630602",
      "0.000000000"
    ],
    [
      "0.491959428",
      "0.000000000"
    ],
    [
      "0.709593774",
      "0.000000000"
    ],
    [
      "0.864147250",
      "0.000000000"
    ],
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      "0.997849485",
      "0.000890770"
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    ],
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      "0.095547565",
      "0.055164413"
    ],
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      "0.286362866",
      "0.055646277"
    ],
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      "0.786870512",
      "0.078744876"
    ],
    [
      "0.893703944",
      "0.106296056"
    ],
    [
      "0.492238208",
      "0.110328473"
    ],
    [
      "0.000000000",
      "0.110328826"
    ],
    [
      "0.190815301",
      "0.110810690"
    ],
    [
      "0.381910436",
      "0.110810687"
    ],
    [
      "0.601055381",
      "0.128529366"
    ],
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      "0.708015602",
      "0.156130649"
    ],
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      "0.095267736",
      "0.165975103"
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      "0.736002035",
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    ],
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      "0.286362866",
      "0.276303929"
    ],
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      "0.095547565",
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      "0.388622336"
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      "0.472388433",
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    ],
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      "0.579678069",
      "0.420321931"
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      "0.000000000",
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      "0.191095130",
      "0.442279032"
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    ],
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      "0.552607858"
    ],
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      "0.197128648",
      "0.564717264"
    ],
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      "0.579908447"
    ],
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      "0.312873483",
      "0.605922585"
    ],
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      "0.095547565",
      "0.607772271"
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      "0.000323296",
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      "0.674216574"
    ],
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      "0.286859346",
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    ],
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      "0.752230834"
    ],
    [
      "0.000000000",
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    ],
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    ],
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      "0.022906018",
      "0.892075193"
    ],
    [
      "0.000000000",
      "1.000000000"
    ]
  ]
}

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": 58
}

当前第一名的答案

{
  "points": [
    [
      "0.000000000",
      "0.000000000"
    ],
    [
      "0.191095130",
      "0.000000000"
    ],
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      "0.381630602",
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    ],
    [
      "0.491959428",
      "0.000000000"
    ],
    [
      "0.709593774",
      "0.000000000"
    ],
    [
      "0.864147250",
      "0.000000000"
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      "0.997849485",
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      "0.221139516"
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      "0.000000000",
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      "0.331950206"
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      "0.388622336"
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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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