The weight of each term is given by the proportion of each sub-triangle area with respect to the total triangle area . Algebraically, this can be expressed like so:
// 栈空 → 无更大元素，返回-1；栈非空 → 取栈顶（第一个更大值）
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Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
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