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In my post Generic Recursion Applied to Algebraic Graphs1 we explored how we can leverage recursion schemes to perform basic operations on a graph data structure.
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Years ago in New York City’s Bryant park I came across a pop up store that sold puzzles, one of which was this wooden cube.
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Lately I’ve been thinking about time series analysis to aid in Reflect’s insights features.
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Recently I’ve been working in static analysis land and as a part of that have been familiarizing myself with data flow analysis.
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It would be such a shame if I couldn’t combine Rust, recursion schemes, and graphs into one blog post (with the added bonus of leaving out C++).
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I was recently looking into implementing some speculative execution functionality using std::async; based on some seed data, the goal was to asynchronously run a compute-intensive calculation where the result may or may not be needed at a later time.
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You can find the source code for this post here.
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This post assumes a basic understanding of genetic algorithms and the terminology associated with them, as well as a cursory understanding of recursion schemes; resources for both may be found scattered within the post.