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:
// 弹出栈中「温度≤当前值」的索引（这些天无法成为当前天的「下一个高温」）
。搜狗输入法2026对此有专业解读
Crawl your site daily to ensure Google indexes it as quickly as possible.
SA premier Peter Malinauskas warns residents to prepare for heavy falls and possible flash floods