Matrix Elements VB-800 Bedienungsanleitung Seite 63

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A2.5 Ox exported mathematics functions 55
Return value
0: success
k: if the k-th singular value (with index k - 1) has not been determined after
50 iterations. The singular values and corresponding U, V should be correct for
indices k.
Description
Computes the singular value decomposition.
IEigValPoly,IEigen
int IEigValPoly(VECTOR vPoly, VECTOR vEr, VECTOR vEi, int cA);
int IEigen(MATRIX mA, int cA, VECTOR vEr, VECTOR vEi, MATRIX mE);
vPoly[cA] in: coefficients of polynomial a
1
...a
m
(a
0
=1).
out: unchanged.
mA[cA][cA]in: unsymmetric matrix.
out: used as working space. IEigVecReal: holds eigenvecs in
rows (eigenvalue i is complex: row i is real, row i +1is
imaginary part).
vEr[cA] out: real part of eigenvalues
vEi[cA] out: imaginary part of eigenvalues
mE[cA][cA]in: NULL or matrix.
out: if !NULL: holds eigenvecs in rows (eigenvalue i is complex:
row i is real, row i +1is imaginary part).
Return value
0 success
1 maximum no of iterations (50) reached
2 NULL pointer arguments or memory allocation not succeeded.
Description
IEigValPoly computes the roots of a polynomial, see polyroots().
IEigen computes the eigenvalues and optionally the eigenvectors of a double un-
symmetric matrix. On output, the eigenvectors are not standardized by the largest
element. EigVecDiv can be used for standardization: it takes the eigenvectors
and values from IEigen as input, and gives the standardized eigenvectors on
output.
IEigenSym
int IEigenSym(MATRIX mA, int cA, VECTOR vEval, int fDoVectors);
mA[cA][cA] in: symmetric matrix.
out: work space.
if fDoVectors 6=0:
the rows contain the
normalized eigenvectors
(ordered).
vEv[cA] out: ordered eigenvalues (smallest first)
fDoVectors in: eigenvectors are to be computed
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