Abstract— We study averaging algorithms, when implemented in large networks of wirelessly connected elements. We extend the notion of “Increasing Correctness” (IC) which was ...
We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scala...
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
NAMD is a scalable molecular dynamics application, which has demonstrated its performance on several parallel computer architectures. Strong scaling is necessary for molecular dyn...
We propose a new data structure for the compact encoding of a Level-Of-Detail (LOD) model of a threedimensional scalar field based on unstructured tetrahedral meshes. Such data s...
Emanuele Danovaro, Leila De Floriani, Paola Magill...