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Matrix Functions, continued
SCHUR
Schur Decomposition. Factors a square matrix into two matrices.
If matrix is real, then the result is {[ [orthogonal] ], [ [upper-
quasi triangular] ]}.
If matrix is complex, then the result is
{[ [unitary] ], [ [upper-triangular] ]}.
SCHUR (mato)
SIZE Dimensions of matrix. Returned as a list: {rows,columns}.
SIZE [matrix)
SPECNORM
Spectral Norm of the specified array.
SPECNORM (mato)
SPECRAD
Spectral Radius of a square matrix.
SPECRAD (marnx)
SVD
Singular Value Decomposition. Factors an mXn matrix into two
matrices and a vector:
{[ [mxm square orthogonal] ], [ [nxn square orthogonal] ] ,
[real]}.
SVD [matrix)
SVL
Singular Values. Returns a vector containing the singular values
of matrix.
SVL [matrix)
TRACE
Finds the trace of a square matrix. The trace is equal to the sum
of the diagonal elements. (It is also equal to the sum of the
eigenvalues.)
TRACE [matrix)
TRN Transposes matrix. For a complex matrix, TRN finds the
conjugate transpose.
TRN [matrix)
6-12 Using Matrices