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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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US stock markets have been hit by a further wave of AI jitters, this time from yet another viral – and completely speculative – warning about the impact of the technology on the world’s largest economy.，推荐阅读爱思助手下载最新版本获取更多信息
19:29, 3 марта 2026Мир