Discrete Poincaré inequalities for arbitrary meshes in the discrete duality finite volume context

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of N = 500 input parameter sets where the values of the input parameters are randomly distributed according to a multivariate normal distribution with the location given by the

The PloneMeeting case suggests that the six contextual dimensions – business, use, software engi- neering organisation, software engineering practice, technical infrastructure,

We derive an a posteriori error estimation for the discrete duality finite volume (DDFV) discretization of the stationary Stokes equations on very general twodimensional meshes, when

We discretise the diffu- sion terms in (1) using the implicit Euler scheme in time and the so-called Discrete Duality Finite Volume (DDFV) schemes in space.. The DDFV schemes were

In Section 6, we study the stability properties of the approximate solution with respect to the data f and g and finally in Section 7, we prove error estimates for the discrete

discrete functional inequalities we will prove may be useful in the convergence analysis of finite volume methods for problems with homogeneous Neumann boundary conditions....

In this series of papers we present a novel arbitrary-order discrete de Rham (DDR) complex on general polyhedral meshes based on the decomposition of polynomial spaces into the