API Documentation Generated by Endo, 2006-08-14
eps = sb.finfo(float).eps.item()
feps = sb.finfo(single).eps.item()
matrix hyperbolic cosine.
matrix cosine.
Compute the matrix exponential using Pade approximation of order q.
Compute the matrix exponential using eigenvalue decomposition.
Compute the matrix exponential using a Taylor series.of order q.
matrix function for arbitrary callable object func.
Matrix logarithm, inverse of expm.
matrix sign
matrix hyperbolic sine.
matrix sine.
Matrix square root
If disp is non-zero display warning if singular matrix. If disp is zero then return residual ||A-X*X||_F / ||A||_F
Uses algorithm by Nicholas J. Higham
matrix hyperbolic tangent.
matrix tangent.
Return as real array if imaginary part is small.
| Local name | Refers to |
|---|---|
| absolute | numpy.absolute |
| all_mat | scipy.linalg.basic.all_mat |
| amax | numpy.amax |
| asarray | numpy.asarray |
| cast | numpy.cast |
| conjugate | numpy.conjugate |
| diag | numpy.diag |
| dot | numpy.dot |
| eig | scipy.linalg.decomp.eig |
| exp | numpy.exp |
| eye | numpy.eye |
| floor | numpy.floor |
| identity | numpy.identity |
| imag | numpy.imag |
| Inf | numpy.Inf |
| inv | scipy.linalg.basic.inv |
| isfinite | numpy.isfinite |
| log | numpy.log |
| logical_not | numpy.logical_not |
| mat | numpy.matrix |
| norm | scipy.linalg.basic.norm |
| ogrid | numpy.ogrid |
| orth | scipy.linalg.decomp.orth |
| product | numpy.product |
| ravel | numpy.ravel |
| real | numpy.real |
| rsf2csf | scipy.linalg.decomp.rsf2csf |
| sb | numpy |
| schur | scipy.linalg.decomp.schur |
| sign | numpy.sign |
| single | numpy.single |
| solve | scipy.linalg.basic.solve |
| sqrt | numpy.sqrt |
| svd | scipy.linalg.decomp.svd |
| transpose | numpy.transpose |
| triu | scipy.linalg.basic.triu |