Improving the decomposition of partially 
     separable functions in the context of 
   large-scale optimization: a first approach

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

                 Report 93/15

Abstract.   This  paper  examines the  question  of
modifying   the   decomposition   of   a  partially
separable    function   in    order   to    improve
computational     efficiency     of     large-scale
minimization algorithms using  a conjugate-gradient
inner iteration.   The  context and motivation  are
given  and  the application  of  a simple  strategy
discussed on  examples extracted from the CUTE test
problem collection.