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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.
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It's officially Unpacked week, which means antsy phone buyers are getting several new models to seriously consider. If you're a power user in particular, you may be weighing the new Samsung Galaxy S26 Ultra against the Google Pixel 10 Pro XL, both of which can be argued to offer the best of Android phones in the first half of 2026.
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