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without allocation. But there is a fair amount of overhead in the
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Urgent cases are being defined as any patient whose symptoms suggest they need treatment to start the same day or where there is a risk of deterioration if they aren't assessed, such as a child with a high fever and a rash, or a frail older person who has suddenly become confused.
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: