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Better optimisation method for Dixon-Coles model #1
Currently I'm thinking a method kind of like this might work well:
I guess there could be some difficulties/annoyances with the penalty weights. These would probably need to be customisable either through some
Sequential solutions with increasing penalty weights should also be considered. In this case each constraint could return a function that takes a weight and returns a penalty function (or just takes weight as an argument - maybe this is more idiomatic in R?).