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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.，推荐阅读搜狗输入法2026获取更多信息
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Now, OsmAnd performs another Dijkstra search, but this time on the much smaller "base graph." This graph consists only of the border points and the pre-calculated shortcut values between them.