While Carr's FCC paints a rosy picture of Charter's acquisition, history has provided multiple examples of mergers having the opposite effect on jobs and pricing. For example, redundancies created when T-Mobile merged with Sprint in 2020 led to a wave of layoffs at the carrier. And funnily enough in 2018, not long after Charter's merger with Time Warner Cable was approved by the FCC, the company raised prices on its Spectrum service by over $91 a year.
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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.