A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
—In this paper, we study the resilience of supply networks against disruptions and provide insights to supply chain managers on how to construct a resilient supply network from t...
Kang Zhao, Akhil Kumar, Terry P. Harrison, John Ye...
— It is well known that complex networks have become a very important part of our daily lives and have been intensively studied in all fields over the last few years. This paper...
—In this paper, we address the scheduling problem for Clos-network switches with no buffers at the central stage. Existing scheduling (dispatching) algorithms for this type of sw...
Mei Yang, Mayauna McCullough, Yingtao Jiang, Jun Z...