Singular value decomposition mathematical notation

Singular value decomposition is a recurring research-paper notation family. Factors a matrix into orthogonal directions and nonnegative singular-value scales.

Singular value decomposition: Factors a matrix into orthogonal directions and nonnegative singular-value scales. Example: Represent A as an input rotation, axis scaling, and output rotation.