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:
志愿者的无偿服务，对医院来说，是实实在在的“成本利器”。虽然具体财务数据未公开，但我们可以通过服务时间，大致算出它的价值：
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Its large solar arrays will generate all the electrical power for the craft, she adds.
触顶之后，平台的钱还能从哪来当抽佣逼近上限，平台并不会停止寻找增长路径。过去几年中，一个清晰的转向正在发生：平台正在从交易税，转向流量税、确定性收费与效率税。