Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

In this Let’s Talk Exascale podcast, Tzanio Kolev from LLNL describes the work at Center for Efficient Exascale Discretizations (CEED), one of six co-design centers within the Exascale Computing ...

(Jena, Germany) Doing pioneer work in science and answering questions of the future--these are tasks of young researchers that the European Research Council (ERC) supports with ERC Starting Grants.

SIAM Journal on Numerical Analysis, Vol. 3, No. 1 (Mar., 1966), pp. 143-156 (14 pages) In the numerical solution of operator equations Fx = 0, discretization of the equation and then application of ...

In this paper we formulate and analyze a discretization method for a 2D linear singularly perturbed convection-diffusion problem with a singular perturbation parameter ε. The method is based on a ...