International Conference on Adaptive Modeling and Simulation - ADMOS
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Active learning surrogate models for the conception of systems with multiple failure modes
(2015)
Conference report
Open AccessThe conception (or risk assessment) of complex mechanical systems has to take into account a series of constraints. Such constraints can be due to certification criteria, performance objectives, cost limitations, and so ... -
Space-time decomposition of a posteriori error estimate for linear and nonlinear parabolic equations with semi-implicit schemes
(2015)
Conference report
Open AccessIn recent years there has been a growing interest in a particular class of nonlinear parabolic equations known as phase-field models, which is characterised by evolving diffuse interfaces instead of sharp interfaces. These ... -
A posteriori estimation of modelling error for a building thermal model
(2015)
Conference report
Open AccessIn the past decade, efficient energy use for civil buildings receives big attention, especially through optimal control which is meant to minimize energy consumption and maintain occupant comfort. Different thermal models ... -
An adaptive scheme for homogenised domains
(2015)
Conference report
Open AccessIn this paper, we extend the concept of modelling error estimation for the homogenisation of ellipticPDEs. In order to do so, we fully acknowledge that the rapid spatial variation of microscopicdiffusion constants cannot ... -
An adaptive inexact Uzawa algorithm based on polynomial-degree-robust a posteriori estimates for the Stokes problem
(2015)
Conference report
Open AccessIn this paper, we are interested in designing an adaptive version of the inexact Uzawa algorithm [4] applied to the linear Stokes problem solved by the finite element method. We present an a posteriori error estimate ... -
A discontinuous Galerkin goal-oriented error estimator based on orthogonal discrete dual spaces
(2015)
Conference report
Open AccessGoal-oriented error estimation [1] has seen increasing interest for adaptive discretizations of engineering problems, as these methods aim to minimize the error in the quantity of interest that motivates the engineering ... -
A posteriori analysis for nonlinear eigenvalue problems, application toelectronic structure calculations
(2015)
Conference report
Open AccessMany mathematical models aiming at the determination of electronic structures give rise tononlinear eigenvalue problems whose resolutions require very large computational resources [1]. Thecomplexity of these computations ... -
Adaptive response surface approximation method for bayesian inference
(2015)
Conference report
Open AccessThe need for surrogate models and adaptive methods can be best appreciated if one is interested in parameter estimation using a Bayesian calibration procedure for validation purposes [1,2]. We extend our work on error ... -
On the predictive capabilities of multiphase Darcy flow models
(2015)
Conference report
Open AccessDarcy’s law is a widely used model and the limit of its validity is fairly well known [1]. When the flow is sufficiently slow and the porosity relatively homogeneous and small, Darcy’s law is the homogenized equation arising ... -
Sparse grid, reduced basis approximation for bayesian inverse problems
(2015)
Conference report
Open AccessBayesian inversion has emerged in recent years as a very effective and versatile methodology for solving inverse problems in, e.g. oil recovery, weather forecasting, medical imaging etc. It amounts to predict, for given ... -
A study of the sensitivity of a sequential variational data assimilation algorithm to the errors of the input data
(2015)
Conference report
Open AccessAn automated system of air monitoring is being developed in Ust-Kamenogorsk city. This system should be able to model contamination and asses air condition. It contains data assimilation module for chemistry composition ... -
Real-time object tracking based on sequential frames
(2015)
Conference report
Open AccessAlthough real-time object tracking is not a new problem in research in the field of computer vision, it still remains a problem that continues to receive much attention from researcher. Many approaches have been developed ...
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