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5 votes

Complexity of computing matrix powers

One good way out is Singular Value Decomposition SVD. Given an $n\times n$ real matrix $A$ of full rank , SVD splits it apart as $A=U\Sigma U^T$ where $\Sigma$ is a diagonal matrix, in time $O(n^3)$ …
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