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Tridiagonal matrices arrises under Markovian dynamics. The computational cost for doing inference with a (general) tridiagonal matrix is $O(n)$, while a general matrix is $O(n^3)$ in the number of datapoints $n$. Exploiting this is critical for scalability.
Tridiagonal matrices arrises under Markovian dynamics. The computational cost for doing inference with a (general) tridiagonal matrix is$O(n)$ , while a general matrix is $O(n^3)$ in the number of datapoints $n$ . Exploiting this is critical for scalability.