The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
但新机会之中，也有大量的非共识存在。
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"I actually started on the [free] GarageBand app on the iPad - and although you might be insecure about your first three or four beats, I genuinely think that if you have a phone, you have a potential career in music."，更多细节参见safew官方下载
// 核心循环：弹出所有≤当前身高的元素 → 这些人都能被当前位置看到（矮个子，无遮挡），更多细节参见heLLoword翻译官方下载