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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* @param {number[]} nums - 待查找最短无序连续子数组的整数数组
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– If the location or view is unrealistic or fictional, create a composition blending both the location and the view into a single scene.