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Matrix & Linear Algebra

Matrices, eigen-decomposition, SVD.

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A = \begin{pmatrix} 2 & 1 & 0 \\ 1 & 3 & 1 \\ 0 & 1 & 2 \end{pmatrix}

A = Q \Lambda Q^{-1}

M = U \Sigma V^\top

\det(A - \lambda I) = 0