We consider two level overlapping Schwarz domain decomposition methods for solving the nite element problems that arise from discretizations of elliptic problems on general unstructured meshes in two and three dimensions. Standard nite element interpolation from the coarse to the ne grid may be used. Our theory requires no assumption on the substructures that constitute the whole domain, so the...

Summary Background. Chromium, Cobalt and Nickel are responsible for contact dermatitis, that is largely prevalent in the general population. They can act also as irritants in the upper and lower respiratory airways. Also rhinitis (allergic and nonallergic) is a high prevalence disorder. Both diseases could share some common inflammatory mechanisms, but the clinical association between skin sens...

As a remarkable difference to the existing CAD technology, where shapes are represented by their boundaries, FEM-based isogeometric analysis typically needs a parameterization of the interior of the domain. Due to the strong influence on the accuracy of the analysis, methods for constructing a good parameterization are fundamentally important. The flexibility of single patch representations is ...

In this paper, we propose a method called Convolutional Neural Network-Markov Random Field (CNN-MRF) to estimate the crowd count in a still image. We first divide the dense crowd visible image into overlapping patches and then use a deep convolutional neural network to extract features from each patch image, followed by a fully connected neural network to regress the local patch crowd count. Si...

We present implementation details and analyze convergence of a two-grid solver forming the core of the fully automatic hp-adaptive strategy for elliptic problems. The solver delivers a solution for a fine grid obtained from an arbitrary coarse hp-grid by a global hp-refinement. The classical V-cycle algorithm combines an overlapping block Jacobi smoother with optimal relaxation, and a direct so...

This paper presents early results of the work on the report containing an analysis of EU funded grid projects. The goals of this research, undertaken with the support of the GRIDSTART project, include study of various solutions, discovery of overlapping efforts, stimulating the reuse of grid components developed within the scope of European projects and identification of open issues in particul...

In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...