This work describes a concise algorithm for the generation of triangular meshes with help standard adaptive finite element methods. We demonstrate that generic solver can be repurposed into mesh generator if robust smoothing is applied between refinement steps. present an implementation and resulting via examples.

We present a parallel octree-based finite element method for large-scale earthquake ground motion simulation in realistic basins. The octree representation combines the low memory per node and good cache performance of finite difference methods with the spatial adaptivity to local seismic wavelengths characteristic of unstructured finite element methods. Several tests are provided to verify the...

A general, two-way coupled, point-particle formulation that accounts for the disturbance created by dispersed particles in obtaining undisturbed fluid flow field needed accurate computation of force closure models is presented. Specifically, equations presence are first derived based on inter-phase momentum coupling a finite-volume formulation. Solution to obtained using two approaches: (i) dir...

In this paper, we propose a novel space-dependent multiscale model for the spread of infectious diseases in two-dimensional spatial context on realistic geographical scenarios. The couples system kinetic transport equations describing population commuters moving large scale (extra-urban) with diffusion characterizing non-commuting acting over small (urban). modeling approach permits to avoid un...

In this paper we prove the convergence of a nite volume scheme to the solution of a Stefan problem, namely the nonlinear diiusion equation ut ?'(u) = v, together with a homogeneous Neumann boundary condition and an initial condition. This is done by means of a priori estimates in L 1 and use of Kolmogorov's theorem on relative compactness of subsets of L 2 .

Banks have volumes of unstructured text data related to customers, businesses, processes and employee engagement which are a source of insights to generate more business, retain customers, improve productivity and enable effective decision making. This paper provides an imperative for adopting unstructured data mining by providing some use cases and examples. It delves into some unstructured da...