Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.
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优点： 更平滑、更稳定，效果普遍优于 ReLU。
// 2. 维护单调递减栈：弹出所有≤当前价格的索引（这些索引对应的价格无法成为后续价格的「上一个更大值」）