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:
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Source: Computational Materials Science, Volume 266
陈女士在女儿沉迷点赞影响学习后，选择为她更换其他品牌的手表，“产品的迭代似乎是在用吸引成年人的思路吸引孩子，对于尚未具备辨别能力的儿童，有时需要果断干预”。
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Флорида Пантерз
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