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.