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DynAMiCs aims to advance the algorithmic theory of discrete linear dynamical systems. By combining techniques from various mathematical fields, it seeks to tackle longstanding open problems, enhancing the understanding and verification of these systems.
Discrete dynamical systems pervade the quantitative sciences, and lie at the heart of central computational challenges in a wide variety of areas, from program analysis and computer-aided verification to neural networks and theoretical biology.
Such systems are typically simple to describe, yet give rise to a rich algorithmic and mathematical theory that is replete with easily stated and compelling open problems.
One such example is the famous Skolem Problem: does the orbit of a given linear dyn…
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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