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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memcpy(testArr, arr, n * sizeof(int));
四是强化数据管理。首次对效应标志物检测、生物监测数据的采集、核查和处理提出了规范性要求。（e公司）