We wanted a scenario where, say, 5 well-placed border points could efficiently represent an area with 5,000 internal points and 10,000 road edges. This would reduce those 10,000 edges to just 5*4/2 = 10 shortcuts for routing through that cluster at a high level – an incredible 1:1000 point ratio and a 30x reduction in edges to consider for the high-level path!
"You wish there was some telepathy and you could reach out and be like, 'listen, we're coming'."
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With these elements, DTF St. Louis looks anything but normal from across the street. But in a disappointing reversal of the show's oft-repeated mantra, the closer you get, the more frustratingly conventional it becomes.
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"People come into your office and say they're not having a very good day, or something's happened at home, and you have to try and see if you can support them. It's very varied."，更多细节参见雷电模拟器官方版本下载
Now that we can build the tree, let's use it to search. Finding a specific point means starting at the root and asking: which child quadrant contains this coordinate? Then you recurse into that child and ask again. Each level of the tree cuts the search space by roughly three-quarters.