HermitianTranspose ⁡ A (when conjugate=true, the default).Transpose ⁡ A (when conjugate=false ) or A.The singular values are equal to the square roots of the (real) eigenvalues of A The SingularValues(A) function returns the singular values of Matrix A in a column Vector. (optional) equation(s) of the form outputoptions=list where o is one of 'U', 'S', or 'Vt' constructor options for the specified result object (optional) constructor options for the result object(s) (optional) equation of the form thin=true or false specifies whether the number of left or right singular vectors computed is at most the minimum of the row and column dimensions of Matrix A. (optional) equation of the form conjugate=true or false specifies whether to use the Hermitian transpose in the case of non-floating-point data (optional) equation of the form output = obj where obj is one of 'U', 'S', 'Vt', or 'list', or a list containing one or more of these names selects result objects to compute

Matrix, list Matrix whose singular values are required SingularValues( A, out, c, t, options, outopts )

Singular matrix