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Career coach Kyle Elliott tells Fortune the first step is to stop trying to do that work entirely in your own head. “Don’t feel like you need to know your talents on your own,” he says, adding that you can always tap family, friends, and colleagues. “Ask them for examples of your strengths and notice what themes emerge. You might be surprised by the talents others notice in you that you haven’t recognized in yourself.”
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: