Pointwise versions of the maximum theorem with applications in optimization

AbstractWe establish a sequential version of the Maximum Theorem which is suitable for solving general optimization problems by successive approximation, e.g. finite truncation of an ”infinite” optimization problem. This can then be used to obtain convergence of optimal values and (partial) convergence of optimal solutions. In particular, we do this for general problems in infinite horizon optimization and semi-infinite programming