For well-distributed points, nearest neighbor search is often near O(logn)O(\log n)O(logn) in practice. In the worst case (all points clustered tightly or along a line), it can degrade to O(n)O(n)O(n), but this is uncommon with typical spatial data.
伯里将这种情况与互联网泡沫时期的思科进行了比较。当时,这家互联网网络巨头延长了与供应商的采购承诺,以确保其有能力支持预期的每年 50% 的增长。,这一点在同城约会中也有详细论述
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// console.log(nextLargerNodes(head)); // [5,5,0],详情可参考im钱包官方下载