The state of the art in fluid-based methods for stability analysis, giving researchers and graduate students command of the tools.

In this book, we consider the problem of achieving the maximum throughput and utility in a class of networks with resource-sharing constraints. This is a classi

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in

This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are mo