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“Immigrants, just by showing up, they’re reducing the debt-to-GDP [ratio], and that’s a good thing for the country,” David Bier, Cato’s director of immigration studies and one of the report’s coauthors, previously told Fortune.
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The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation: