Interval Analysis: Contributions to static and dynamic optimization

The field of global optimization has been an active one for many years. By far the most applied methods are gradient and evolutionary based algorithms. The most appearing drawback of those types of methods is that one cannot guarantee that the global solution is found within finite time. Moreover, if the global solution is found (by chance), the...