Home | Trees | Indices | Help |
|
---|
|
object --+ | fixedpoint_nD
IMPORTANT: Any complex eigenvectors are stored as pairs of real eigenvectors, with the understanding that the corresponding complex eigenvalues indicate the use of these eigenvectors as a solution basis with the trig functions. The full, possibly complex eigenvectors are always available using np.linalg(fp.D) for a fixedpoint_nD object 'fp'.
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
Inherited from |
|
|||
_classifications = None
|
|||
_stability =
|
|
|||
Inherited from |
|
pt must have same dimension as generator, but if a sub-system is being analyzed then specify the sub-system's variables using the coords argument.
|
Uses numpy linalg.eig to compute eigenvalues and right eigenvectors of this fixed point. IMPORTANT: Any complex eigenvectors are stored as pairs of real eigenvectors, with the understanding that the corresponding complex eigenvalues indicate the use of these eigenvectors as a solution basis with the trig functions. The full, possibly complex eigenvectors are always available using np.linalg(fp.D) for a fixedpoint_nD object 'fp'. |
Home | Trees | Indices | Help |
|
---|
Generated by Epydoc 3.0.1 on Sun Dec 2 23:44:23 2012 | http://epydoc.sourceforge.net |