## RANK Calculate the Rank of a Matrix

Section: Array Generation and Manipulations

### Usage

Returns the rank of a matrix. There are two ways to use the `rank` function is

       y = rank(A,tol)

where `tol` is the tolerance to use when computing the rank. The second form is

       y = rank(A)

in which case the tolerance `tol` is chosen as

       tol = max(size(A))*max(s)*eps,

where `s` is the vector of singular values of `A`. The rank is computed using the singular value decomposition `svd`.

### Examples

Some examples of matrix rank calculations

    --> rank([1,3,2;4,5,6])

    ans =
     2

    --> rank([1,2,3;2,4,6])

    ans =
     1

Here we construct an ill-conditioned matrix, and show the use of the `tol` argument.

    --> A = [1,0;0,eps/2]

    A =
        1.0000         0
             0    0.0000

    --> rank(A)

    ans =
     1

    --> rank(A,eps/8)

    ans =
     2