Scilab Function

diag - diagonal including or extracting

### Calling Sequence

  `[y]=diag(vm, [k])`

### Parameters

- `vm` : vector or matrix (full or sparse storage)
- `k` : integer (default value 0)
- `y` : vector or matrix

### Description

for `vm` a (row or column) n-vector `diag(vm)` returns a diagonal matrix with entries of `vm` along the main diagonal.

`diag(vm,k)` is a `(n+abs(k))x(n+abs(k))` matrix with the entries of `vm` along the kth diagonal. `k=0` is the main diagonal `k>0` is for upper diagonals and `k<0` for lower diagonals.

For a matrix `vm` , `diag(vm,k)` is the column vector made of entries of the kth diagonal of `vm` . `diag(vm)` is the main diagonal of `vm` . `diag(diag(x))` is a diagonal matrix.

If `vm` is a sparse matrix `diag(vm,k)` returns a sparse matrix.

To construct a diagonal linear system, use `sysdiag` .

Note that `eye(A).*A` returns a diagonal matrix made with the diagonal entries of `A` . This is valid for any matrix (constant, polynomial, rational, state-space linear system,...).

### Examples

    diag([1,2])

    A=[1,2;3,4];
    diag(A)  // main diagonal
    diag(A,1)

    diag(sparse(1:10))  // sparse diagonal matrix

    // form a tridiagonal matrix of size 2*m+1
    m=5;diag(-m:m) +  diag(ones(2*m,1),1) +diag(ones(2*m,1),-1)

### See Also

`sysdiag` , `sparse` ,