Examples - HP NW280-200X User Manual

SCHUR
Vector
Cross Product
Dot Product
L Norm
2
L Norm
1
Max Norm

Examples

Identity Matrix
426
Schur Decomposition. Factorizes 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(matrix)
SVD Singular Value Decomposition. Factorizes an m × n matrix
into two matrices and a vector:
{[[m × m square orthogonal]],[[n × n square orthogonal]],
[real]}.
SVD(matrix)
SVL Singular Values. Returns a vector containing the singular
values of matrix.
SVL(matrix)
Cross Product of vector1 with vector2.
CROSS(vector1, vector2)
Dot Product of two arrays, matrix1 and matrix2.
DOT(matrix1, matrix2)
Returns the l
vector.
l2norm(Vect)
Returns the l
coordinates) of a vector.
l1norm(Vect)
Returns the l
of the coordinates) of a vector.
maxnorm(Vect or Mtrx)
You can create an identity matrix with the IDENMAT
function. For example, IDENMAT(2) creates the 2×2
identity matrix [[1,0],[0,1]].
norm (sqrt(x1^2+x2^2+...xn^2)) of a
2
norm (sum of the absolute values of the
1
norm (the maximum of the absolute values
∞
Matrices