Improving the Decomposition of Partially Separable Functions in the Context of Large-Scale Optimization: a First Approach·

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.