This sounds reasonable until you see how easily it goes wrong:
The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
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克萊爾亦有感觸,她覺得從小紅書熱到今天的「成為中國人」熱潮,這個輿論風口轉變和人們對於西方機構合法性的日益失望直接關聯。。关于这个话题,夫子提供了深入分析
"These videos are making people think this is real life. It's becoming out of hand now," he said.