Transformations

Matrix transformations

Matrix decomposition can be used in the following cases:

Different matrix decomposition types are used depending on the problem.

Function	Action
Cholesky	Computes the Cholesky decomposition
Eig	Computes the eigenvalues and right eigenvectors of a square matrix
EigVals	Computes the eigenvalues of a general matrix
LU	LU factorization of a matrix as the product of a lower triangular matrix and an upper triangular matrix
LUP	LUP factorization with partial pivoting, which refers to LU decomposition with row permutations only: PA=LU
QR	Compute the qr factorization of a matrix
SVD	Singular Value Decomposition