Add post: Day 10 - Factory #937
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merlinorg
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Dec 15, 2025
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| For part 1, I applied the [Breadth-first Search](https://en.wikipedia.org/wiki/Breadth-first_search) algorithm (BFS), BFS allows finding the shorest-path from a state to another when every transition has the same cost, this was quicky to implement and produced the correct output. | ||
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| For part 2, BFS wasn't adequate due to the number of potential states, there is an alternative [Divide-and-conquer](https://en.wikipedia.org/wiki/Divide-and-conquer_algorithm) approach which is fast enough. |
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This isn't really divide and conquer, two sub-problems are not generated. Per some authors cited in paragraph 5 of that wikipedia article, it's really decrease and conquer.
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