Раскрыты подробности похищения ребенка в Смоленске09:27
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"You don't need to be sitting front row at Fashion Week anymore to shape taste, you can influence right from your bedroom and that shift has been very powerful", she says.
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.