svd

Linear Algebra

Singular value decomposition. Factors matrix A into U * S * V' where U and V are orthogonal and S is diagonal with singular values.

svd(A)

[U, S, V] = svd(A)

svd([1 2; 3 4])

A = [1 0 1; 0 1 1]; svd(A)