jkomoros / sudoku

A sudoku puzzle solver, generator, and difficulty-rater built in Go
Apache License 2.0
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ProbabilityDistribution.Invert should be weaker when all items are large #308

Open jkomoros opened 8 years ago

jkomoros commented 8 years ago

For example, see #307 (and the original analysis in #305). The forcing chains are very different scores, but all pushed to effectively 0, so they aren't differentiated at all.

One obvious thing to do is to take the distribution and subtract (min(distri) - 1) from all items, so the smallest item is 1.0 and the others are all translated. But that's not exactly right because the distribution is on a curve. It's probably about something like division of all things?