Wiping out a ‘fiscal engine’
In just one year, the Trump administration’s highly visible crusade against immigration has brought new entries into the U.S. to a grinding halt. The demographic consequences are already starting to show up in economic data, and could soon worsen the increasingly dire state of the nation’s $38.8 trillion (and growing) national debt.
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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.