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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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example SNA network might look like this: An S/370 computer running CICS (or
但內容主張:「為遏制委內瑞拉共產主義,下一任政府必須採取重要步驟,警告其共產黨濫權者,並協助委內瑞拉人民。」