// Nick Macks (macks@fnal.gov), Summer 2002
// The "tsncom" tests perform various matrix operations using either
// LinearAlgebra, or CLHEP, or CovMatrices on the same matrices. This way we
// can compare the results of the matrix operations on all three packages.

tsncom01:
LinearAlgebra: Matrix addition
(user can specify if the matrices are to be declared specialized
and/or symmetric)

tsncom02:
CLHEP: HepMatrix addition

tsncom03:
CLHEP: HepSymMatrix addition

tsncom04:
CovMatrices: CovMatrixX addition

tsncom05:
LinearAlgebra: Matrix subtraction
(user can specify if the matrices are to be declared specialized
and/or symmetric)

tsncom06:
CLHEP: HepMatrix subtraction

tsncom07:
CLHEP: HepSymMatrix subtraction

tsncom08:
CovMatrices: CovMatrixX subtraction

tsncom09:
LinearAlgebra: Matrix multiplication
(user can specify if the matrices are to be declared specialized
and/or symmetric)

tsncom10:
CLHEP: HepMatrix multiplication

tsncom11:
CLHEP: HepSymMatrix multiplication

tsncom12:
LinearAlgebra: Matrix trace calculation
(user can specify if the matrix is to be declared specialized
and/or symmetric)

tsncom13:
CLHEP: HepMatrix trace calculation

tsncom14:
CLHEP: HepSymMatrix trace calculation

tsncom15:
LinearAlgebra: Matrix determinant calculation
(user can specify if the matrix is to be declared specialized
and/or symmetric)

tsncom16:
CLHEP: HepMatrix determinant calculation

tsncom17:
CLHEP: HepSymMatrix determinant calculation

tsncom18:
CovMatrices: CovMatrixX determinant calculation

tsncom19:
LinearAlgebra: Matrix inversion
(user can specify if the matrices are to be declared specialized
and/or symmetric)

tsncom20:
CLHEP: HepMatrix inversion

tsncom21:
CLHEP: HepSymMatrix inversion

tsncom22:
CovMatrices: CovMatrixX inversion

tsncom23:
LinearAlgebra: Matrix * ColumnVector multiplication

tsncom24:
LinearAlgebra: RowVector * Matrix multiplication

tsncom25:
CLHEP: HepMatrix * HepVector multiplication

tsncom26:
CLHEP: HepVector * HepMatrix multiplication
Note: In order to perform vector*matrix in CLHEP we have to transpose the vector.
However, when we transpose a HepVector we get back a HepMatrix. Thus, we end up
performing matrix*matrix multiplication and not vector*matrix. 

tsncom27:
CLHEP: HepSymMatrix * HepVector multiplication

tsncom28:
CLHEP: HepVector * HepSymMatrix multiplication
Note: In order to perform vector*matrix in CLHEP we have to transpose the vector.
However, when we transpose a HepVector we get back a HepMatrix. Thus, we end up
performing matrix*matrix multiplication and not vector*matrix. 

tsncom29:
CovMatrices: CovMatrixX * VectorX multiplication

tsncom30:
CovMatrices: VectorX * CovMatrixX multiplication

tsncom31:
CovMatrices: Matrix trace calculation

tsncom32:
CovMatrices: CovMatrixX * CovMatrixX multiplication

tsncom33:
LinearAlgebra: ColumnVector * RowVector multiplication

tsncom34:
CLHEP: HepVector * HepVector multiplication
       vector form like in ColumnVector * RowVector
Note: In order to perform vector*vector in CLHEP we have to transpose one of
the two vectors. However, when we transpose a HepVector we get back a HepMatrix.
Thus, we end up performing vector*matrix multiplication and not vector*vector. 

tsncom35:
CovMatrices: VectorX * VectorX multiplication
             vector form like in ColumnVector * RowVector

tsncom36:
LinearAlgebra: RowVector * ColumnVector multiplication

tsncom37:
CLHEP: HepVector * HepVector multiplication
       vector form like in RowVector * ColumnVector
Note: In order to perform vector*vector in CLHEP we have to transpose
one of the two vectors. Here we transpose the first vector.
However, when we transpose a HepVector we get back a HepMatrix.
Thus, we end up performing matrix*vector and not vector*vector.

tsncom38:
CovMatrices: VectorX * VectorX multiplication
             vector form like in RowVector * ColumnVector