### 2.52.3 Gauss-Jordan reduction: `rref gaussjord`

`rref` solves a linear system of equations written in matrix form (see also 2.31.17) :

`A*X=B`

`rref` takes one or two arguments.

- If `rref` has only one argument, this argument is the augmented matrix of the system (the matrix obtained by augmenting matrix `A` to the right with the column vector `B`).
  The result is a matrix `[A1,B1]` : `A1` has zeros both above and under its principal diagonal and has 1 on its principal diagonal, and the solutions of:
  `A1*X=B1`
  are the same as :
  `A*X=B`
  For example, to solve the system:

  ⎧ ⎨ ⎩ |
  3x + y | = | −2
  3x +2y | = | 2

  input :
  `rref([[3,1,-2],[3,2,2]])`
  Output :
  `[[1,0,-2],[0,1,4]]`
  Hence x=−2 and y=4 is the solution of this system.

  `rref` can also solve several linear systems of equations having the same first member. We write the second members as a column matrix.
  Input :

  `rref([[3,1,-2,1],[3,2,2,2]])`

  Output :

  `[[1,0,-2,0],[0,1,4,1]]`

  Which means that (x=−2 and y=4) is the solution of the system

  ⎧ ⎨ ⎩ |
  3x + y | = | −2
  3x +2y | = | 2

  and (x=0 and y=1) is the solution of the system

  ⎧ ⎨ ⎩ |
  3x + y | = | 1
  3x +2y | = | 2

- If `rref` has two parameters, the second parameter must be an integer k, and the Gauss-Jordan reduction will be performed on (at most) the first k columns.
  Input :
  `rref([[3,1,-2,1],[3,2,2,2]],1)`
  Output :
  `[[3,1,-2,1],[0,1,4,1]]`