On Sensitivity Analysis of Nonlinear Programs in Banach Spaces: The Approach via Composite Unconstrained Optimization

This article studies local sensitivity analysis of nonlinear programming problems in Banach spaces with arbitrary sets of solutions and no a priori regularity properties. This is done by first developing a corresponding theory for unconstrained optimization involving simple composite functions and then applying this theory to general nonlinear programs by way of certain reduction principles.