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.
being an optional type annotation.
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18:43, 27 февраля 2026Силовые структуры，更多细节参见51吃瓜
Fits all our points; that is p(x_0)=y_0, p(x_1)=y_1 etc.