Eigendecomposition and Singular Value Decomposition

이향기·2022년 4월 19일
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Eigendecomposition

A=PDP1A=PDP^{-1}

Singular Value Decomposition

A=UΣVA = U \Sigma V^{\top}
  • The SVD exists for any matrix ARm×n\bold{A}\in\R^{m\times n}
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