MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
This paper presents a computationally efficient method for deriving coordinate representations for the equations of motion and the affine connection describing a class of Lagrangi...
In this paper we present polynomial time algorithms deciding branching bisimilarity between finite-state systems and several classes of infinite-state systems: BPA and normed BPP...
Governments and commercial companies connect more and more computer systems to the Internet, giving people easier access to services. Many of these online services handle personal ...
This paper introduces a combination of models and proofs for optimal power management via Dynamic Frequency Scaling and Dynamic Voltage Scaling. The approach is suitable for syste...