—Network management applications require large numbers of counters in order to collect traffic characteristics for each network flow. However, these counters often barely fit ...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
ACT We consider an optimal power and rate scheduling problem for a single user transmitting to a base station on a fading wireless link with the objective of minimizing the mean de...
In portable applications, the energy consumed by OS and application tasks primarily comes from DC battery source, which is limited and imposes an upper bound to the amount of time...
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...