scipy tutorial - Baustatik-Info-Server

Examples
>>> from scipy.linalg import signm, eigvals
>>> a = [[1,2,3], [1,2,1], [1,1,1]]
>>> eigvals(a)
array([ 4.12488542+0.j, -0.76155718+0.j, 0.63667176+0.j])
>>> eigvals(signm(a))
array([-1.+0.j, 1.+0.j, 1.+0.j])
sqrtm(A, disp=1)
Matrix square root.
Notes
Parameters
A : array, shape(M,M)
Matrix whose square root to evaluate
disp : boolean
SciPy Reference Guide, Release 0.8.dev
Print warning if error in the result is estimated large instead of returning estimated
error. (Default: True)
Returns
sgnA : array, shape(M,M)
Value of the sign function at A
(if disp == False) :
errest : float
Frobenius norm of the estimated error, ||err||_F / ||A||_F
Uses algorithm by Nicholas J. Higham
funm(A, func, disp=1)
Evaluate a matrix function specified by a callable.
Returns the value of matrix-valued function f at A. The function f is an extension of the scalar-valued function
func to matrices.
Parameters
A : array, shape(M,M)
Matrix at which to evaluate the function
func : callable
Callable object that evaluates a scalar function f. Must be vectorized (eg. using
vectorize).
disp : boolean
Print warning if error in the result is estimated large instead of returning estimated
error. (Default: True)
Returns
fA : array, shape(M,M)
Value of the matrix function specified by func evaluated at A
3.7. Linear algebra (scipy.linalg) 245