Abstract

In this paper, we report results of the implementation of an algorithm designed to solve semi-infinite programming problems. Due to its computational intensity, parallélisation is used in two stages – for evaluating the global optimum and for checking the feasibility of constraints. We parallelise the algorithms by using MPI - the message passing interface. The algorithms are then applied to engineering and macroeconomic modelling problems, including designing robust optimally informative experiments for dynamic model identification, and robust macroeconomic policies for inflation targeting.

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