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.
This almost certainly won’t happen to the ISS. At the same time, it’s a far more extreme version of the only way an American space station has ever come down. In 1979, after years spent vacant in orbit, Skylab, the US’s first space station, started sinking toward the atmosphere, where it threatened to fall and drop molten spacecraft parts on Earth. At that point, NASA officials had to remotely wake up its computers and, with only limited control of the station, direct it over a location that would endanger the fewest humans.
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// 逻辑：只要右侧元素<最大值，说明该元素需纳入无序区间，右边界右移
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