# SVD - Singular Value Decomposition

Every real matrix have a singular value decomposition which is different than eigenvalue decomposition because it's only for square matrices.&#x20;

$$
A = UDV^T
$$

$$U, V$$both are orthogonal and $$D$$is diagonal matrix (not necessarily square)&#x20;
