HP 39gs_40gs_Mastering The Graphing Calculator_English_E_F2224-90010

SVD(<matrix>)

This function performs a Singular Value Decomposition on an m × n matrix. The result is two matrices and a

vector:

{[[m × m square orthogonal]],[[n × n square orthogonal]],[real]}.

SVL(<matrix>)

This function returns a vector containing the singular values of the supplied matrix.

TRACE(<matrix>)

This function finds the trace of a square matrix. The trace is equal to the sum of the diagonal elements or the

sum of the eigenvalues.

TRN(matrix)

This function returns the transpose of an n x m matrix.

⎡

⎤

⎢

For example, if

M1 1 2

⎥

then TRN(M1) would return

⎡

210

⎤

⎣

−

⎥

⎢

−

⎢

3 24

⎦

⎢

⎥

⎦⎣

201