Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
// 易错点5:忘记push当前索引 → 后续价格无法找到正确的上一个更大值,结果全错
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直观来看,美股软件板块整体已进入技术性熊市,许多头部企业软件公司股价均承受超过20%的跌幅,直至如今,市场整体对软件股仍有下跌空间的预期。市场对软件股尤其是SaaS、企业软件普遍存在悲观情绪:既希望企业重生冲出原有桎梏,也担心AI冲击企业软件本身。
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