The codes developed in this repository are credited to all the members of the course NMPDE - Numerical Methods for Partial Differential Equations (2018) instructed by Prof. D. Palla, Dept. of ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

Abstract: This article addresses the differential privacy problem for second-order multiagent systems (MASs) over signed digraph. To this end, both position and velocity states are disturbed by ...