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.
岁末年初，是家庭消费的高峰期，也是许多建筑工人结算工资、安排支出的集中节点。2025年11月，叶师傅通过日常上班打卡用的那个“码”，在春节前顺利结清了一笔工钱。这笔钱不仅让他支付了老家的装修尾款，也增添了他为新家“添砖加瓦”的底气。
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“魔法のつえ”が奪われた 最高裁Noで新たなトランプ関税は？