WP2: Learning of connection coefficients in ODE systems

In this WP we research and develop efficient, robust and scalable learning strategies to optimize connection coefficients for dynamical systems of low and intermediate size complexicity (up to 1000 variables). The resulting learning strategies are to be used to guide the development of methods in WP3-WP5

WP2 is chaired by Wim Wiegerinck

work package layout of SUMO