def uniform(nrows, ncols=1, a=0, b=1):
'''
Randomly generates a matrix with uniformly distributed entries.
uniform(nrows, ncols=1, a=0, b=1)
PURPOSE
Returns a matrix with typecode 'd' and size nrows by ncols, with
its entries randomly generated from a uniform distribution on the
interval (a,b).
ARGUMENTS
nrows number of rows
ncols number of columns
a lower bound
b upper bound
'''
try:
from cvxopt import gsl
except:
from cvxopt.base import matrix
from random import uniform
return matrix([uniform(a, b) for k in range(nrows * ncols)],
(nrows, ncols), 'd')
return gsl.uniform(nrows, ncols, a, b)
def uniform(nrows, ncols=1, a=0, b=1):
'''
Randomly generates a matrix with uniformly distributed entries.
uniform(nrows, ncols=1, a=0, b=1)
PURPOSE
Returns a matrix with typecode 'd' and size nrows by ncols, with
its entries randomly generated from a uniform distribution on the
interval (a,b).
ARGUMENTS
nrows number of rows
ncols number of columns
a lower bound
b upper bound
'''
try:
from cvxopt import gsl
except:
from cvxopt.base import matrix
from random import uniform
return matrix([uniform(a, b) for k in range(nrows*ncols)],
(nrows,ncols), 'd' )
return gsl.uniform(nrows, ncols, a, b)
def test3(self):
from cvxopt import gsl
x = gsl.uniform(4,3)
self.assertTrue(x.size[0] == 4 and x.size[1] == 3)
def test3(self):
from cvxopt import gsl
x = gsl.uniform(4, 3)
self.assertTrue(x.size[0] == 4 and x.size[1] == 3)
