Particle systems and the Dynamics and Functionality of Networks

Abstract

The goal is to develop mathematical models and optimization tools that can cope with the "big data" nature of large scale networks of agents or particles and while providing the means to understand and regulate the collective behavior and the dynamical interactions (short and long-range) across such networks.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2017
Source ID
FA95501710435

Entities

People

  • Allen Tannenbaum

Organizations

  • Air Force Office of Scientific Research
  • Research Foundation for the State University of New York
  • United States Air Force

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development