scipy tutorial - Baustatik-Info-Server

Examples
SciPy Reference Guide, Release 0.8.dev
Cutoff for ‘small’ singular values. Singular values smaller than
rcond*largest_singular_value are considered zero.
If None or -1, suitable machine precision is used.
Returns
B : array, shape (N, M)
Raises LinAlgError if SVD computation does not converge :
>>> from numpy import *
>>> a = random.randn(9, 6)
>>> B = linalg.pinv2(a)
>>> allclose(a, dot(a, dot(B, a)))
True
>>> allclose(B, dot(B, dot(a, B)))
True
kron(a, b)
Kronecker product of a and b.
The result is the block matrix:
a[0,0]*b a[0,1]*b ... a[0,-1]*b
a[1,0]*b a[1,1]*b ... a[1,-1]*b
...
a[-1,0]*b a[-1,1]*b ... a[-1,-1]*b
Examples
Parameters
a : array, shape (M, N)
b : array, shape (P, Q)
Returns
A : array, shape (M*P, N*Q)
Kronecker product of a and b
>>> from scipy import kron, array
>>> kron(array([[1,2],[3,4]]), array([[1,1,1]]))
array([[1, 1, 1, 2, 2, 2],
[3, 3, 3, 4, 4, 4]])
hankel(c, r=None)
Construct a Hankel matrix.
The Hankel matrix has constant anti-diagonals, c as its first column, and r as its last row (if not given, r == 0 os
assumed).
Parameters
c : array
r : array
First column of the matrix
Last row of the matrix. If None, r == 0 is assumed.
3.7. Linear algebra (scipy.linalg) 223