import mathnetwrapper as mnw

x = mnw.matrix((2, 2), distribution=mnw.MN.Distributions.Normal())

print x

DenseMatrix 2x2-Double
 0.308277 -0.47732
-0.0486687 1.38952

a = [1, 2, 3, 4]
b = [a, a[::-1]]

c = mnw.matrix((2, 4), input_list=mnw.list_transpose_stack(b))

d = mnw.matrix((4, 3), distribution=mnw.MN.Distributions.Cauchy())

print c, d

DenseMatrix 2x4-Double
1 2 3 4
4 3 2 1

DenseMatrix 4x3-Double
-0.310471 0.287797 -0.704258
0.0676569 0.588943 -1.3042
 -3.50351 0.408381 2.23867
 3.62503 -1.40826 -0.569192

e = c.Multiply(d)  # c is .NET class, use DenseMatrix method .Multiply()

print e

DenseMatrix 2x3-Double
 3.81443 -2.94222 1.12658
-4.42091 2.32652 -2.82149