 Singular value

The singular values of a matrix $A$ are the nonnegative square roots of the eigenvalues of $A^{\ast }A$.

Singular values are a set of values that arise from the singular value decomposition (SVD) of a matrix. The SVD is a fundamental technique in linear algebra and statistics that is used to factorize a matrix into three other matrices.