def randmatrix(m, n=None, min=0, max=1, **kwargs):
"""
Create a random m x n matrix.
All values are >= min and <max.
n defaults to m.
"""
if not n:
n = m
A = matrix(m, n, **kwargs)
for i in xrange(m):
for j in xrange(n):
A[i,j] = rand() * (max - min) + min
return A
def randmatrix(m, n=None, min=0, max=1, **kwargs):
"""
Create a random m x n matrix.
All values are >= min and <max.
n defaults to m.
"""
if not n:
n = m
A = matrix(m, n, **kwargs)
for i in xrange(m):
for j in xrange(n):
A[i, j] = rand() * (max - min) + min
return A
def randmatrix(m, n=None, min=0, max=1, **kwargs):
"""
Create a random m x n matrix.
All values are >= min and <max.
n defaults to m.
Example:
>>> from mpmath import randmatrix
>>> randmatrix(2) # doctest:+SKIP
matrix(
[['0.53491598236191806', '0.57195669543302752'],
['0.85589992269513615', '0.82444367501382143']])
"""
if not n:
n = m
A = matrix(m, n, **kwargs)
for i in xrange(m):
for j in xrange(n):
A[i,j] = rand() * (max - min) + min
return A
def randmatrix(m, n=None, min=0, max=1, **kwargs):
"""
Create a random m x n matrix.
All values are >= min and <max.
n defaults to m.
Example:
>>> from sympy.mpmath import randmatrix
>>> randmatrix(2) # doctest:+SKIP
matrix(
[['0.53491598236191806', '0.57195669543302752'],
['0.85589992269513615', '0.82444367501382143']])
"""
if not n:
n = m
A = matrix(m, n, **kwargs)
for i in xrange(m):
for j in xrange(n):
A[i,j] = rand() * (max - min) + min
return A
