COUPLING FINITE ELEMENTS AND PROPER GENERALIZED DECOMPOSITIONS

Coupling of Mixed Finite Elements and Boundary Elements

The symmetric coupling of mixed nite element and boundary element methods is analysed for a model interface problem with the Laplacian. The coupling involves a further continuous ansatz function on the interface to link the discontinuous displacement eld to the necessarily continuous boundary ansatz function. Quasi-optimal a priori error estimates and sharp a posteriori error estimates are esta...

Decompositions of Proper Scores

Scoring rules are an important tool for evaluating the performance of probabilistic forecasts. A popular example is the Brier score, which allows for a decomposition into terms related to the sharpness (or information content) and to the reliability of the forecast. This feature renders the Brier score a very intuitive measure of forecast quality. In this paper, it is demonstrated that all stri...

Proper Generalised Decompositions: Theory and Applications

Generalized finite element method using proper orthogonal decomposition

A methodology is presented for generating enrichment functions in generalized finite element methods (GFEM) using experimental and/or simulated data. The approach is based on the proper orthogonal decomposition (POD) technique, which is used to generate low-order representations of data that contain general information about the solution of partial differential equations. One of the main challe...

Proper Generalized Decompositions and separated representations for the numerical solution of high dimensional stochastic problems

Uncertainty quanti cation and propagation in physical systems appear as a critical path for the improvement of the prediction of their response. Galerkin-type spectral stochastic methods provide a general framework for the numerical simulation of physical models driven by stochastic partial di erential equations. The response is searched in a tensor product space, which is the product of determ...