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Highly Divergent Profiles: For routing configurations that are not pre-calculated as common scenarios and whose costs vary too much from default configurations, the original A* algorithm might still be faster (and is often used as an automatic fallback).

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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.