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The singular value decomposition of a matrix $A$ is defined as
  \begin{displaymath} A = U \Sigma V^H \end{displaymath} (1)

where $U$ and $V$ are both matrices with orthonormal columns, $\{\cdot\}^H$ indicates a complex-conjugate transpose, and $\Sigma$ is a diagonal matrix with singular values
\[ \sigma_1 > \sigma_2 > \cdots > \sigma_n \geq 0 \]
along the main diagonal. Eq. (1) is just one of the many matrix decompositions that exists for matrix $A$.

-- MartonJozsef - 02 Nov 2016

\[\int_{-\infty}^\infty e^{ -\alpha x^2 } dx = \sqrt{ \frac{\pi}{\alpha} }\]
A fenti képletben $\Delta$ nem szerepel. -- FrigoErzsebet - 03 Nov 2016
Topic revision: r2 - 03 Nov 2016, FrigoErzsebet
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