The optimal and distributed provisioning of high throughput in mesh networks is known as a fundamental but hard problem. The situation is exacerbated in a wireless setting due to t...
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
We apply the method known as simulated annealing to the following problem in convex optimization: minimize a linear function over an arbitrary convex set, where the convex set is ...
We study how protocol design for various functionalities within a communication network architecture can be viewed as a distributed resource allocation problem. This involves unde...
OpenMP is an architecture-independent language for programming in the shared memory model. OpenMP is designed to be simple and in terms of programming abstractions. Unfortunately,...