The quadtree is the two-dimensional case of a broader family of space-partitioning data structures. Octrees extend the same idea to three dimensions (splitting cubes into eight children), KD-trees use alternating axis-aligned splits (splitting along x, then y, then x again), and R-trees group nearby objects into bounding rectangles. Each variant makes different tradeoffs between construction time, query speed, and update cost.
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At some point I realized I could run tests forever. And I had already done that last year, and wrote it up in blog posts (one and two). Doing it again here didn’t seem especially valuable. So I pivoted to a “how to” page. In redesign 3 I decided to show the concepts, then a JavaScript implementation using CPU rendering, and then another implementation using GPU rendering. I made new versions of the diagrams:。业内人士推荐爱思助手下载最新版本作为进阶阅读
类似整理扑克牌:每次拿一张新牌,插入到已排好序的牌堆中合适位置