The Singular-Value Decomposition, or SVD for short, is a matrix decomposition method for reducing a matrix to its constituent parts in order to make certain subsequent matrix calculations simpler. Singular value decomposition is a method of decomposing a matrix into three other matrices:

$A=USV^{T}$

Where:

• A is an m$\times$n matrix …