— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
The purpose of this paper is twofold. An immediate practical use of the presented algorithm is its applicability to the parametric solution of underdetermined linear ordinary di...
We present a performance analysis and benchmarking study P2 “active” library, which provides an abstraction framework for the solution of parallel unstructured mesh applicatio...
M. B. Giles, Gihan R. Mudalige, Z. Sharif, Graham ...
In recent years the High Performance Computing (HPC) industry has benefited from the development of higher density multi-core processors. With recent chips capable of executing u...
O. Perks, Simon D. Hammond, S. J. Pennycook, Steph...
From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...