Jason (jcreed) wrote,

Playing around with attempting to train up a slightly more clever diamond-square map synthesis algorithm which, instead of just adding random noise at midpoints, adds some quantity that is a prediction based on the training data.
map science
(the map images here are not the output of any algorithm, yet, they're just bits of the pacific northwest, but I like how the data structure visualization below looks)
Tags: maps

  • (no subject)

    Something that's bugged me for a long time is this: How many paths, starting at the origin, taking N steps either up, down, left or right, end up at…

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    Still sad that SAC seems to end up being as complicated as it is. Surely there's some deeper duality between…

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    I had already been meaning to dig into JaneSt's "Incremental" library, which bills itself as a practical implementation (in ocaml) of the ideas in…

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