New Challenges for Java Developers in the Era of Large Models ...

Modeling the dynamic behavior of physical systems. Concepts of causality, dependent and independent storages, and state. Introduction to bond graphs. Generation of state equations; analytical and ...

Background Mathematical models can be powerful policymaking tools. Simple, static models are user-friendly for policymakers. More complex, dynamic models account for time-dependent changes but are ...

The origin of spikes in single neurons was essentially solved by the Nobel-prize winning Hodgkin–Huxley model developed in the 1950s. Drawing directly from detailed neurophysiological recordings of ...

Latent space models are popular for analyzing dynamic network data. We propose a variational approach to estimate the model parameters and the latent positions of the nodes in the network. The ...