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.
答案并不抽象。它写在习近平主席二〇二六年新年贺词里：“柴米油盐、三餐四季，每个‘小家’热气腾腾，中国这个‘大家’就蒸蒸日上。”
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В итоге суд обязал компанию вернуть мужчину на работу или выплатить ему крупную компенсацию. Какое именно решение приняла дирекция, неизвестно.