Feature models are a common way to represent variability in software product line engineering. For this purpose, most authors use a graphical notation based on FODA. The main drawb...
Quentin Boucher, Andreas Classen, Paul Faber, Patr...
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
The ball-and-socket joint model is used to represent articulations with three rotational degrees of freedom (DOF), such as the human shoulder and the hip. The goal of this paper i...
A scalable parallel algorithm has been designed to perform multimillion-atom molecular dynamics (MD) simulations, in which first principlesbased reactive force fields (ReaxFF) des...
Ken-ichi Nomura, Rajiv K. Kalia, Aiichiro Nakano, ...
Abstract-- Cycle accurate simulation has long been the primary tool for micro-architecture design and evaluation. Though accurate, the slow speed often imposes constraints on the e...