Processing math: 100%

Singular Value Decomposition

Any matrix M can be written as

M=UΣVT,

where U and V are orthogonal, and Σ is diagonal with non-negative entries.

Because orthogonal and diagonal matrices have many convenient properties, it’s often simpler to replace a matrix with its SVD in order to analyze something.

Problems