Scilab Function

sp2adj - converts sparse matrix into adjacency form

### Parametres

- `A` : real or complex sparse matrix (nz non-zero entries)
- `xadj` : integer vector of length (n+1).
- `adjncy` : integer vector of length nz containing the row indices for the corresponding elements in anz
- `anz` : column vector of length nz, containing the non-zero elements of A

### Description

    sp2adj converts a sparse matrix into its adjacency form (utility
    fonction).
    A =  n x m sparse matrix. xadj, adjncy, anz = adjacency
    representation of A i.e:

`xadj(j+1)-xadj(j)` = number of non zero entries in row j. `adjncy` = column index of the non zeros entries in row 1, row 2,..., row n. `anz` = values of non zero entries in row 1, row 2,..., row n. `xadj` is a (column) vector of size n+1 and `adjncy` is an integer (column) vector of size `nz=nnz(A)`. `anz` is a real vector of size `nz=nnz(A)`.

### Exemples

    A = sprand(100,50,.05);
    [xadj,adjncy,anz]= sp2adj(A);
    [n,m]=size(A);
    p = adj2sp(xadj,adjncy,anz,[n,m]);
    A-p,

### Voir aussi

`adj2sp` `sparse` `spcompack` `spget`