On the number of inner iterations per outer iteration 
    of a globally convergent algorithm for optimization 
        with general nonlinear inequality constraints 
                  and simple bounds

          A.R. Conn, Nick Gould and Ph.L. Toint

                    Report 92/14

This  paper  considers   the  number  of  inner  iterations
required per outer iteration for the  algorithm proposed by
Conn,   Gould   and  Toint   in   1992.    We   show   that
asymptotically,  under  suitable reasonable  assumptions, a
single inner iteration suffices.