The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …

A mean-field selective optimal control problem of multipopulation dynamics via transient
leadership is considered. The agents in the system are described by their spatial position …

We analyze the problem of controlling a multiagent system with additive white noise through
parsimonious interventions on a selected subset of the agents (leaders). For such a …

We provide a theoretical analysis of some autocatalytic reaction networks exhibiting the
phenomenon of discreteness-induced transitions. The family of networks that we address …

A mathematical model is envisaged that discusses the motion of 3D nanofluids (NFs) with
anisotropic slip influence magnetic field past a stretching sheet. The heat transportation …

The mean-field analysis of a multipopulation agent-based model is performed. The model
couples a particle dynamics driven by a nonlocal velocity with a Markov-type jump process …

Inferring dynamical models from data continues to be a significant challenge in
computational biology, especially given the stochastic nature of many biological processes …

We consider density-dependent Markov chains converging, as the scale parameter K> 0
goes to infinity, to the solution of an ODE admitting an exponentially stable equilibrium point …

A multi-step Lagrangian scheme at discrete times is proposed for the approximation of a
nonlinear continuity equation arising as a mean-field limit of spatially inhomogeneous …

In a stochastic reaction network setting we consider the problem of tracking the fate of
individual molecules. We show that by using the classical large volume limit results, we may …