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。
| 纪录 | 数值 / 区间 | 作者 / 持有人 | 来源 |
|---|---|---|---|
| 外部已知最好 | [0.0327283017415, 0.0327283017425] | 见来源署名 | packomania.com ↗ |
| 本站纪录 | 暂无选手纪录 | — | — |
当前展示：起步布局
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。
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
查看构型、求解笔记与纪录历史。
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"。
{
"centers": [
[
"0.092847538",
"0.032728302"
],
[
"0.212868059",
"0.032728302"
],
[
"0.343450473",
"0.032728302"
],
[
"0.408907077",
"0.032728302"
],
[
"0.474800386",
"0.032728302"
],
[
"0.540256989",
"0.032728302"
],
[
"0.606977748",
"0.032728302"
],
[
"0.672434351",
"0.032728302"
],
[
"0.737890955",
"0.032728302"
],
[
"0.803947084",
"0.032728302"
],
[
"0.869403688",
"0.032728302"
],
[
"0.967263444",
"0.036948373"
],
[
"0.278159266",
"0.037378593"
],
[
"0.152857799",
"0.05886899"
],
[
"0.032841883",
"0.060690212"
],
[
"0.910584617",
"0.083607551"
],
[
"0.573617368",
"0.089045724"
],
[
"0.77091902",
"0.089241255"
],
[
"0.441853731",
"0.089288755"
],
[
"0.705162653",
"0.089415383"
],
[
"0.314832141",
"0.091597292"
],
[
"0.639814159",
"0.093295188"
],
[
"0.508333762",
"0.094100001"
],
[
"0.845840054",
"0.095575542"
],
[
"0.205501429",
"0.097769056"
],
[
"0.091893151",
"0.098177947"
],
[
"0.378630028",
"0.106239576"
],
[
"0.967271698",
"0.116335853"
],
[
"0.032728302",
"0.126179511"
],
[
"0.26218851",
"0.130497358"
],
[
"0.148814347",
"0.130497358"
],
[
"0.910584617",
"0.149064155"
],
[
"0.797117024",
"0.149226516"
],
[
"0.680370977",
"0.149995411"
],
[
"0.564905399",
"0.153919975"
],
[
"0.451464426",
"0.154035968"
],
[
"0.334050494",
"0.154169025"
],
[
"0.205501429",
"0.163225659"
],
[
"0.091893151",
"0.163634551"
],
[
"0.739002396",
"0.179464963"
],
[
"0.853897535",
"0.181792456"
],
[
"0.967271698",
"0.181792456"
],
[
"0.623683895",
"0.182723712"
],
[
"0.392790607",
"0.183052397"
],
[
"0.508218317",
"0.186648277"
],
[
"0.032728302",
"0.191636115"
],
[
"0.27792073",
"0.194035254"
],
[
"0.148814347",
"0.195953961"
],
[
"0.910584617",
"0.214520758"
],
[
"0.794218048",
"0.214618892"
],
[
"0.680370977",
"0.215452014"
],
[
"0.564905399",
"0.219376579"
],
[
"0.33822412",
"0.219492434"
],
[
"0.451598283",
"0.219492434"
],
[
"0.221233648",
"0.226763555"
],
[
"0.091893151",
"0.229091154"
],
[
"0.967271698",
"0.24724906"
],
[
"0.853862327",
"0.24724906"
],
[
"0.737530967",
"0.247347194"
],
[
"0.623683895",
"0.248180316"
],
[
"0.508285364",
"0.252220736"
],
[
"0.394911201",
"0.252220736"
],
[
"0.032728302",
"0.257092718"
],
[
"0.27792073",
"0.259491857"
],
[
"0.164546567",
"0.259491857"
],
[
"0.910584617",
"0.279977362"
],
[
"0.797192855",
"0.280007862"
],
[
"0.680676867",
"0.280907903"
],
[
"0.565211289",
"0.284832468"
],
[
"0.33822412",
"0.284949038"
],
[
"0.451598283",
"0.284949038"
],
[
"0.221233648",
"0.292220159"
],
[
"0.108036998",
"0.292525712"
],
[
"0.853897535",
"0.312705663"
],
[
"0.967271698",
"0.312705663"
],
[
"0.740505774",
"0.312736164"
],
[
"0.623989785",
"0.313636205"
],
[
"0.508591254",
"0.317676625"
],
[
"0.394911201",
"0.317677339"
],
[
"0.032728302",
"0.322549322"
],
[
"0.27792073",
"0.324948461"
],
[
"0.164724079",
"0.325254014"
],
[
"0.910584617",
"0.345433965"
],
[
"0.797192855",
"0.345464466"
],
[
"0.683338657",
"0.346310363"
],
[
"0.567797158",
"0.350311718"
],
[
"0.451904173",
"0.350404926"
],
[
"0.33822412",
"0.350405641"
],
[
"0.089415383",
"0.355277624"
],
[
"0.221411161",
"0.357982316"
],
[
"0.853897535",
"0.378162267"
],
[
"0.967271698",
"0.378162267"
],
[
"0.740505774",
"0.378192768"
],
[
"0.626651576",
"0.379038665"
],
[
"0.511126922",
"0.383084096"
],
[
"0.395217091",
"0.383133228"
],
[
"0.032728302",
"0.388005925"
],
[
"0.146102465",
"0.388005925"
],
[
"0.278098242",
"0.390710617"
],
[
"0.910584617",
"0.410890569"
],
[
"0.797192855",
"0.410921069"
],
[
"0.683338657",
"0.411766967"
],
[
"0.567814004",
"0.415812398"
],
[
"0.454439841",
"0.415812398"
],
[
"0.33853001",
"0.41586153"
],
[
"0.202789546",
"0.420734227"
],
[
"0.089415383",
"0.420734227"
],
[
"0.853897535",
"0.44361887"
],
[
"0.967271698",
"0.44361887"
],
[
"0.740505774",
"0.443649371"
],
[
"0.626651576",
"0.444495268"
],
[
"0.511126922",
"0.4485407"
],
[
"0.397752759",
"0.4485407"
],
[
"0.146102465",
"0.453462529"
],
[
"0.259476628",
"0.453462529"
],
[
"0.032728302",
"0.453462529"
],
[
"0.910584617",
"0.476347172"
],
[
"0.797192855",
"0.476377673"
],
[
"0.683338657",
"0.47722357"
],
[
"0.454439841",
"0.481269001"
],
[
"0.567814004",
"0.481269001"
],
[
"0.341065678",
"0.481269001"
],
[
"0.202789546",
"0.486190831"
],
[
"0.089415383",
"0.486190831"
],
[
"0.853897535",
"0.509075474"
],
[
"0.967271698",
"0.509075474"
],
[
"0.740505774",
"0.509105975"
],
[
"0.626651576",
"0.509951872"
],
[
"0.284378596",
"0.513997303"
],
[
"0.397752759",
"0.513997303"
],
[
"0.511126922",
"0.513997303"
],
[
"0.032728302",
"0.518919132"
],
[
"0.146102465",
"0.518919132"
],
[
"0.910584617",
"0.541803776"
],
[
"0.797192855",
"0.541834276"
],
[
"0.683338657",
"0.542680174"
],
[
"0.227691515",
"0.546725605"
],
[
"0.341065678",
"0.546725605"
],
[
"0.454439841",
"0.546725605"
],
[
"0.567814004",
"0.546725605"
],
[
"0.089415383",
"0.551647434"
],
[
"0.853897535",
"0.574532077"
],
[
"0.967271698",
"0.574532077"
],
[
"0.740505774",
"0.574562578"
],
[
"0.626651576",
"0.575408475"
],
[
"0.171004433",
"0.579453907"
],
[
"0.284378596",
"0.579453907"
],
[
"0.397752759",
"0.579453907"
],
[
"0.511126922",
"0.579453907"
],
[
"0.032728302",
"0.584375736"
],
[
"0.910584617",
"0.607260379"
],
[
"0.797192855",
"0.60729088"
],
[
"0.683338657",
"0.608136777"
],
[
"0.114317352",
"0.612182208"
],
[
"0.227691515",
"0.612182208"
],
[
"0.341065678",
"0.612182208"
],
[
"0.454439841",
"0.612182208"
],
[
"0.567814004",
"0.612182208"
],
[
"0.853897535",
"0.639988681"
],
[
"0.967271698",
"0.639988681"
],
[
"0.740505774",
"0.640019181"
],
[
"0.626651576",
"0.640865079"
],
[
"0.284378596",
"0.64491051"
],
[
"0.397752759",
"0.64491051"
],
[
"0.511126922",
"0.64491051"
],
[
"0.05763027",
"0.64491051"
],
[
"0.171004433",
"0.64491051"
],
[
"0.910584617",
"0.672716983"
],
[
"0.797192855",
"0.672747483"
],
[
"0.683338657",
"0.673593381"
],
[
"0.114317352",
"0.677638812"
],
[
"0.227691515",
"0.677638812"
],
[
"0.341065678",
"0.677638812"
],
[
"0.454439841",
"0.677638812"
],
[
"0.567814004",
"0.677638812"
],
[
"0.032728302",
"0.705445284"
],
[
"0.853897535",
"0.705445284"
],
[
"0.967271698",
"0.705445284"
],
[
"0.740505774",
"0.705475785"
],
[
"0.626651576",
"0.706321682"
],
[
"0.171004433",
"0.710367114"
],
[
"0.284378596",
"0.710367114"
],
[
"0.397752759",
"0.710367114"
],
[
"0.511126922",
"0.710367114"
],
[
"0.089415383",
"0.738173586"
],
[
"0.910584617",
"0.738173586"
],
[
"0.797192855",
"0.738204087"
],
[
"0.683338657",
"0.739049984"
],
[
"0.227691515",
"0.743095415"
],
[
"0.341065678",
"0.743095415"
],
[
"0.454439841",
"0.743095415"
],
[
"0.567814004",
"0.743095415"
],
[
"0.032728302",
"0.770901888"
],
[
"0.146102465",
"0.770901888"
],
[
"0.853897535",
"0.770901888"
],
[
"0.967271698",
"0.770901888"
],
[
"0.740505774",
"0.770932388"
],
[
"0.626651576",
"0.771778286"
],
[
"0.284378596",
"0.775823717"
],
[
"0.397752759",
"0.775823717"
],
[
"0.511126922",
"0.775823717"
],
[
"0.089415383",
"0.80363019"
],
[
"0.202789546",
"0.80363019"
],
[
"0.910584617",
"0.80363019"
],
[
"0.797192855",
"0.80366069"
],
[
"0.683338657",
"0.804506588"
],
[
"0.341065678",
"0.808552019"
],
[
"0.454439841",
"0.808552019"
],
[
"0.567814004",
"0.808552019"
],
[
"0.032728302",
"0.836358491"
],
[
"0.146102465",
"0.836358491"
],
[
"0.259476628",
"0.836358491"
],
[
"0.853897535",
"0.836358491"
],
[
"0.967271698",
"0.836358491"
],
[
"0.740505774",
"0.836388992"
],
[
"0.626651576",
"0.837234889"
],
[
"0.397752759",
"0.841280321"
],
[
"0.511126922",
"0.841280321"
],
[
"0.089415383",
"0.869086793"
],
[
"0.202789546",
"0.869086793"
],
[
"0.316163709",
"0.869086793"
],
[
"0.910584617",
"0.869086793"
],
[
"0.797192899",
"0.869117294"
],
[
"0.683338701",
"0.869963191"
],
[
"0.454439841",
"0.874008622"
],
[
"0.567814044",
"0.874008622"
],
[
"0.032728302",
"0.901815095"
],
[
"0.146102465",
"0.901815095"
],
[
"0.259476628",
"0.901815095"
],
[
"0.372850791",
"0.901815095"
],
[
"0.967271698",
"0.901815095"
],
[
"0.853897557",
"0.901815133"
],
[
"0.740505817",
"0.901845595"
],
[
"0.626651619",
"0.902691493"
],
[
"0.511126922",
"0.906736924"
],
[
"0.089415383",
"0.934543397"
],
[
"0.202789546",
"0.934543397"
],
[
"0.316163709",
"0.934543397"
],
[
"0.429537872",
"0.934543397"
],
[
"0.910549478",
"0.934604264"
],
[
"0.796167484",
"0.936288966"
],
[
"0.677242022",
"0.944226757"
],
[
"0.55110059",
"0.958570049"
],
[
"0.032728302",
"0.967271698"
],
[
"0.146102465",
"0.967271698"
],
[
"0.259476628",
"0.967271698"
],
[
"0.372850791",
"0.967271698"
],
[
"0.486224953",
"0.967271698"
],
[
"0.615976227",
"0.967271698"
],
[
"0.738507816",
"0.967271698"
],
[
"0.853827152",
"0.967271698"
],
[
"0.96727166",
"0.967271698"
]
],
"radius": "0.032728301"
}{
"n": 252
}{
"centers": [
[
"0.092847538",
"0.032728302"
],
[
"0.212868059",
"0.032728302"
],
[
"0.343450473",
"0.032728302"
],
[
"0.408907077",
"0.032728302"
],
[
"0.474800386",
"0.032728302"
],
[
"0.540256989",
"0.032728302"
],
[
"0.606977748",
"0.032728302"
],
[
"0.672434351",
"0.032728302"
],
[
"0.737890955",
"0.032728302"
],
[
"0.803947084",
"0.032728302"
],
[
"0.869403688",
"0.032728302"
],
[
"0.967263444",
"0.036948373"
],
[
"0.278159266",
"0.037378593"
],
[
"0.152857799",
"0.05886899"
],
[
"0.032841883",
"0.060690212"
],
[
"0.910584617",
"0.083607551"
],
[
"0.573617368",
"0.089045724"
],
[
"0.77091902",
"0.089241255"
],
[
"0.441853731",
"0.089288755"
],
[
"0.705162653",
"0.089415383"
],
[
"0.314832141",
"0.091597292"
],
[
"0.639814159",
"0.093295188"
],
[
"0.508333762",
"0.094100001"
],
[
"0.845840054",
"0.095575542"
],
[
"0.205501429",
"0.097769056"
],
[
"0.091893151",
"0.098177947"
],
[
"0.378630028",
"0.106239576"
],
[
"0.967271698",
"0.116335853"
],
[
"0.032728302",
"0.126179511"
],
[
"0.26218851",
"0.130497358"
],
[
"0.148814347",
"0.130497358"
],
[
"0.910584617",
"0.149064155"
],
[
"0.797117024",
"0.149226516"
],
[
"0.680370977",
"0.149995411"
],
[
"0.564905399",
"0.153919975"
],
[
"0.451464426",
"0.154035968"
],
[
"0.334050494",
"0.154169025"
],
[
"0.205501429",
"0.163225659"
],
[
"0.091893151",
"0.163634551"
],
[
"0.739002396",
"0.179464963"
],
[
"0.853897535",
"0.181792456"
],
[
"0.967271698",
"0.181792456"
],
[
"0.623683895",
"0.182723712"
],
[
"0.392790607",
"0.183052397"
],
[
"0.508218317",
"0.186648277"
],
[
"0.032728302",
"0.191636115"
],
[
"0.27792073",
"0.194035254"
],
[
"0.148814347",
"0.195953961"
],
[
"0.910584617",
"0.214520758"
],
[
"0.794218048",
"0.214618892"
],
[
"0.680370977",
"0.215452014"
],
[
"0.564905399",
"0.219376579"
],
[
"0.33822412",
"0.219492434"
],
[
"0.451598283",
"0.219492434"
],
[
"0.221233648",
"0.226763555"
],
[
"0.091893151",
"0.229091154"
],
[
"0.967271698",
"0.24724906"
],
[
"0.853862327",
"0.24724906"
],
[
"0.737530967",
"0.247347194"
],
[
"0.623683895",
"0.248180316"
],
[
"0.508285364",
"0.252220736"
],
[
"0.394911201",
"0.252220736"
],
[
"0.032728302",
"0.257092718"
],
[
"0.27792073",
"0.259491857"
],
[
"0.164546567",
"0.259491857"
],
[
"0.910584617",
"0.279977362"
],
[
"0.797192855",
"0.280007862"
],
[
"0.680676867",
"0.280907903"
],
[
"0.565211289",
"0.284832468"
],
[
"0.33822412",
"0.284949038"
],
[
"0.451598283",
"0.284949038"
],
[
"0.221233648",
"0.292220159"
],
[
"0.108036998",
"0.292525712"
],
[
"0.853897535",
"0.312705663"
],
[
"0.967271698",
"0.312705663"
],
[
"0.740505774",
"0.312736164"
],
[
"0.623989785",
"0.313636205"
],
[
"0.508591254",
"0.317676625"
],
[
"0.394911201",
"0.317677339"
],
[
"0.032728302",
"0.322549322"
],
[
"0.27792073",
"0.324948461"
],
[
"0.164724079",
"0.325254014"
],
[
"0.910584617",
"0.345433965"
],
[
"0.797192855",
"0.345464466"
],
[
"0.683338657",
"0.346310363"
],
[
"0.567797158",
"0.350311718"
],
[
"0.451904173",
"0.350404926"
],
[
"0.33822412",
"0.350405641"
],
[
"0.089415383",
"0.355277624"
],
[
"0.221411161",
"0.357982316"
],
[
"0.853897535",
"0.378162267"
],
[
"0.967271698",
"0.378162267"
],
[
"0.740505774",
"0.378192768"
],
[
"0.626651576",
"0.379038665"
],
[
"0.511126922",
"0.383084096"
],
[
"0.395217091",
"0.383133228"
],
[
"0.032728302",
"0.388005925"
],
[
"0.146102465",
"0.388005925"
],
[
"0.278098242",
"0.390710617"
],
[
"0.910584617",
"0.410890569"
],
[
"0.797192855",
"0.410921069"
],
[
"0.683338657",
"0.411766967"
],
[
"0.567814004",
"0.415812398"
],
[
"0.454439841",
"0.415812398"
],
[
"0.33853001",
"0.41586153"
],
[
"0.202789546",
"0.420734227"
],
[
"0.089415383",
"0.420734227"
],
[
"0.853897535",
"0.44361887"
],
[
"0.967271698",
"0.44361887"
],
[
"0.740505774",
"0.443649371"
],
[
"0.626651576",
"0.444495268"
],
[
"0.511126922",
"0.4485407"
],
[
"0.397752759",
"0.4485407"
],
[
"0.146102465",
"0.453462529"
],
[
"0.259476628",
"0.453462529"
],
[
"0.032728302",
"0.453462529"
],
[
"0.910584617",
"0.476347172"
],
[
"0.797192855",
"0.476377673"
],
[
"0.683338657",
"0.47722357"
],
[
"0.454439841",
"0.481269001"
],
[
"0.567814004",
"0.481269001"
],
[
"0.341065678",
"0.481269001"
],
[
"0.202789546",
"0.486190831"
],
[
"0.089415383",
"0.486190831"
],
[
"0.853897535",
"0.509075474"
],
[
"0.967271698",
"0.509075474"
],
[
"0.740505774",
"0.509105975"
],
[
"0.626651576",
"0.509951872"
],
[
"0.284378596",
"0.513997303"
],
[
"0.397752759",
"0.513997303"
],
[
"0.511126922",
"0.513997303"
],
[
"0.032728302",
"0.518919132"
],
[
"0.146102465",
"0.518919132"
],
[
"0.910584617",
"0.541803776"
],
[
"0.797192855",
"0.541834276"
],
[
"0.683338657",
"0.542680174"
],
[
"0.227691515",
"0.546725605"
],
[
"0.341065678",
"0.546725605"
],
[
"0.454439841",
"0.546725605"
],
[
"0.567814004",
"0.546725605"
],
[
"0.089415383",
"0.551647434"
],
[
"0.853897535",
"0.574532077"
],
[
"0.967271698",
"0.574532077"
],
[
"0.740505774",
"0.574562578"
],
[
"0.626651576",
"0.575408475"
],
[
"0.171004433",
"0.579453907"
],
[
"0.284378596",
"0.579453907"
],
[
"0.397752759",
"0.579453907"
],
[
"0.511126922",
"0.579453907"
],
[
"0.032728302",
"0.584375736"
],
[
"0.910584617",
"0.607260379"
],
[
"0.797192855",
"0.60729088"
],
[
"0.683338657",
"0.608136777"
],
[
"0.114317352",
"0.612182208"
],
[
"0.227691515",
"0.612182208"
],
[
"0.341065678",
"0.612182208"
],
[
"0.454439841",
"0.612182208"
],
[
"0.567814004",
"0.612182208"
],
[
"0.853897535",
"0.639988681"
],
[
"0.967271698",
"0.639988681"
],
[
"0.740505774",
"0.640019181"
],
[
"0.626651576",
"0.640865079"
],
[
"0.284378596",
"0.64491051"
],
[
"0.397752759",
"0.64491051"
],
[
"0.511126922",
"0.64491051"
],
[
"0.05763027",
"0.64491051"
],
[
"0.171004433",
"0.64491051"
],
[
"0.910584617",
"0.672716983"
],
[
"0.797192855",
"0.672747483"
],
[
"0.683338657",
"0.673593381"
],
[
"0.114317352",
"0.677638812"
],
[
"0.227691515",
"0.677638812"
],
[
"0.341065678",
"0.677638812"
],
[
"0.454439841",
"0.677638812"
],
[
"0.567814004",
"0.677638812"
],
[
"0.032728302",
"0.705445284"
],
[
"0.853897535",
"0.705445284"
],
[
"0.967271698",
"0.705445284"
],
[
"0.740505774",
"0.705475785"
],
[
"0.626651576",
"0.706321682"
],
[
"0.171004433",
"0.710367114"
],
[
"0.284378596",
"0.710367114"
],
[
"0.397752759",
"0.710367114"
],
[
"0.511126922",
"0.710367114"
],
[
"0.089415383",
"0.738173586"
],
[
"0.910584617",
"0.738173586"
],
[
"0.797192855",
"0.738204087"
],
[
"0.683338657",
"0.739049984"
],
[
"0.227691515",
"0.743095415"
],
[
"0.341065678",
"0.743095415"
],
[
"0.454439841",
"0.743095415"
],
[
"0.567814004",
"0.743095415"
],
[
"0.032728302",
"0.770901888"
],
[
"0.146102465",
"0.770901888"
],
[
"0.853897535",
"0.770901888"
],
[
"0.967271698",
"0.770901888"
],
[
"0.740505774",
"0.770932388"
],
[
"0.626651576",
"0.771778286"
],
[
"0.284378596",
"0.775823717"
],
[
"0.397752759",
"0.775823717"
],
[
"0.511126922",
"0.775823717"
],
[
"0.089415383",
"0.80363019"
],
[
"0.202789546",
"0.80363019"
],
[
"0.910584617",
"0.80363019"
],
[
"0.797192855",
"0.80366069"
],
[
"0.683338657",
"0.804506588"
],
[
"0.341065678",
"0.808552019"
],
[
"0.454439841",
"0.808552019"
],
[
"0.567814004",
"0.808552019"
],
[
"0.032728302",
"0.836358491"
],
[
"0.146102465",
"0.836358491"
],
[
"0.259476628",
"0.836358491"
],
[
"0.853897535",
"0.836358491"
],
[
"0.967271698",
"0.836358491"
],
[
"0.740505774",
"0.836388992"
],
[
"0.626651576",
"0.837234889"
],
[
"0.397752759",
"0.841280321"
],
[
"0.511126922",
"0.841280321"
],
[
"0.089415383",
"0.869086793"
],
[
"0.202789546",
"0.869086793"
],
[
"0.316163709",
"0.869086793"
],
[
"0.910584617",
"0.869086793"
],
[
"0.797192899",
"0.869117294"
],
[
"0.683338701",
"0.869963191"
],
[
"0.454439841",
"0.874008622"
],
[
"0.567814044",
"0.874008622"
],
[
"0.032728302",
"0.901815095"
],
[
"0.146102465",
"0.901815095"
],
[
"0.259476628",
"0.901815095"
],
[
"0.372850791",
"0.901815095"
],
[
"0.967271698",
"0.901815095"
],
[
"0.853897557",
"0.901815133"
],
[
"0.740505817",
"0.901845595"
],
[
"0.626651619",
"0.902691493"
],
[
"0.511126922",
"0.906736924"
],
[
"0.089415383",
"0.934543397"
],
[
"0.202789546",
"0.934543397"
],
[
"0.316163709",
"0.934543397"
],
[
"0.429537872",
"0.934543397"
],
[
"0.910549478",
"0.934604264"
],
[
"0.796167484",
"0.936288966"
],
[
"0.677242022",
"0.944226757"
],
[
"0.55110059",
"0.958570049"
],
[
"0.032728302",
"0.967271698"
],
[
"0.146102465",
"0.967271698"
],
[
"0.259476628",
"0.967271698"
],
[
"0.372850791",
"0.967271698"
],
[
"0.486224953",
"0.967271698"
],
[
"0.615976227",
"0.967271698"
],
[
"0.738507816",
"0.967271698"
],
[
"0.853827152",
"0.967271698"
],
[
"0.96727166",
"0.967271698"
]
],
"radius": "0.032728301"
}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
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。
按选手与子题分组，默认展示最新一篇。历史笔记及回复完整保留，点击笔记可查看和回复。笔记随纪录提交发布。