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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:
By the end of the 21st century, only eight of the 21 cities that have hosted the Winter Olympics are projected to be cold enough to reliably host the Games due to climate change. Challenges faced by Milano Cortina 2026 organisers such as producing artificial snow, establishing transport links between remote locations and building new infrastructure are likely to become more omnipresent at future editions.