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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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But despite the upbeat mood on Wall Street, every big deal includes losers. And this is no exception: Assuming it goes through, the losers in this deal will be Hollywood’s unseen entertainment workers—the writers, non-star actors, directors, set designers, and others, whose numbers have been decreasing for years.
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