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-* Matrices
-*** Outline
-***** Introduction
-******* Why do we want to do that?
-******* We shall use arrays (introduced before) for matrices
-******* Arsenal Required
-********* working knowledge of arrays
-***** Various matrix operations
-******* Transpose
-******* Sum of all elements
-******* Element wise operations
-******* Matrix multiplication
-******* Inverse of a matrix
-******* Determinant
-******* eigen values/vectors
-******* svd
-***** Other things available?
-*** Script
-    Welcome. 
-    
-    In this tutorial, you will learn how to perform some common matrix
-    operations. We shall look at some of the functions available in
-    pylab. Note that, this tutorial just scratches the surface and
-    there is a lot more that can be done. 
-
-    Let's begin with finding the transpose of a matrix. 
-    
-    In []: a = array([[ 1,  1,  2, -1],
-    ...:            [ 2,  5, -1, -9],
-    ...:            [ 2,  1, -1,  3],
-    ...:            [ 1, -3,  2,  7]])
-
-    In []: a.T
-
-    Type a, to observe the change in a. 
-    In []: a
-    
-    Now we shall look at adding another matrix b, to a. It doesn't
-    require anything special, just use the + operator. 
-    
-    In []: b = array([[3, 2, -1, 5],
-                      [2, -2, 4, 9],
-                      [-1, 0.5, -1, -7],
-                      [9, -5, 7, 3]])
-    In []: a + b
-
-    What do you expect would be the result, if we used * instead of
-    the + operator? 
-
-    In []: a*b
-    
-    You get an element-wise product of the two arrays and not a matrix
-    product. To get a matrix product, we use the dot function. 
-    
-    In []: dot(a, b)
-
-    The sum function returns the sum of all the elements of the
-    array. 
-    
-    In []: sum(a)
-
-    The inv command returns the inverse of the matrix. 
-    In []: inv(a)
-
-    In []: det(a)
-
-    In []: eig(a)
-    Returns the eigenvalues and the eigen vectors. 
-    
-    In []: eigvals(a)
-    Returns only the eigenvalues. 
-
-    In []: svd(a)
-    Singular Value Decomposition 
-
-*** Notes
-