Developing algorithms for sensor networks—and proving their correctness and performance—, requires simplifying but still realistic models. This paper surveys various models in...
The virtues of deterministic parallelism have been argued for decades and many forms of deterministic parallelism have been described and analyzed. Here we are concerned with one ...
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gib...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
: There are several models for the evolutionary process forming a species tree. We examine the Birth-and-Death model (BDM), the Proportional-to-Distinguishable Arrangements (PDA) m...
The random oracle model is an idealized theoretical model that has been successfully used for designing many cryptographic algorithms and protocols. Unfortunately, a series of res...