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A dense version of Kruskal's algorithm. In this post I propose a dense version of Kruskal’s algorithm that I have not seen in the literature. It has a runtime of ( Theta(n 2) ). Which is better than (O(m log m) ). The runtime of the standard version of the algorithm, when (m in Theta(n 2) ). Experimentation shows the runtime of a simple implementation to be similar to Prim’s algorithm for the dense case, and a marked improvement over the usual, sparse version of Kruskal. Compile time invariants in Haskell.

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A dense version of Kruskal's algorithm. In this post I propose a dense version of Kruskal’s algorithm that I have not seen in the literature. It has a runtime of ( Theta(n 2) ). Which is better than (O(m log m) ). The runtime of the standard version of the algorithm, when (m in Theta(n 2) ). Experimentation shows the runtime of a simple implementation to be similar to Prim’s algorithm for the dense case, and a marked improvement over the usual, sparse version of Kruskal. Compile time invariants in Haskell.
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A dense version of Kruskal's algorithm. In this post I propose a dense version of Kruskal’s algorithm that I have not seen in the literature. It has a runtime of ( Theta(n 2) ). Which is better than (O(m log m) ). The runtime of the standard version of the algorithm, when (m in Theta(n 2) ). Experimentation shows the runtime of a simple implementation to be similar to Prim’s algorithm for the dense case, and a marked improvement over the usual, sparse version of Kruskal. Compile time invariants in Haskell.

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A dense version of Kruskal's algorithm. In this post I propose a dense version of Kruskal’s algorithm that I have not seen in the literature. It has a runtime of ( Theta(n 2) ). Which is better than (O(m log m) ). The runtime of the standard version of the algorithm, when (m in Theta(n 2) ). Experimentation shows the runtime of a simple implementation to be similar to Prim’s algorithm for the dense case, and a marked improvement over the usual, sparse version of Kruskal. Compile time invariants in Haskell.

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