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MATHICSE Technical Report : A posteriori error estimators for hierarchical B-spline discretizations

Publications associées (65)

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Plug-and-play distributed state estimation for linear systems

Giancarlo Ferrari Trecate, Marcello Farina

This paper proposes a state estimator for large-scale linear systems described by the interaction of state-coupled subsystems affected by bounded disturbances. We equip each subsystem with a Local State Estimator (LSE) for the reconstruction of the subsyst ...

2013

Plug-and-play distributed state estimation for linear systems

Giancarlo Ferrari Trecate, Marcello Farina

2013

A posteriori analysis of the Chorin-Temam scheme for Stokes equations

Marco Picasso

method) for the time discretization of an unstationary Stokes problem in D c Rd (d = 2,3) given t, f,u0; (P) find (u, p) solution to ult. = u0, ujav = 0 and: au ptAu + V p = f, divu = 0 on (0, T) x D. at Inspired by the analyses of the Backward Euler schem ...

Elsevier France-Editions Scientifiques Medicales Elsevier2013

Robust Parameter Estimation for the Ornstein-Uhlenbeck Process

Sonja Rieder

In this thesis, we treat robust estimation for the parameters of the Ornstein–Uhlenbeck process, which are the mean, the variance, and the friction. We start by considering classical maximum likelihood estimation. For the simulation study, where we also in ...

EPFL2012

Certified Reduced Basis Method for the Electric Field Integral Equation

Jan Sickmann Hesthaven, Bernhard Stamm

[B. Fares et al., J. Comput. Phys., 230 (2011), pp. 5532-5555], a reduced basis method (RBM) for the electric field integral equation (EFIE) using the boundary element method (BEM) is developed, based on a simplified a posteriori error estimator for the gr ...

SIAM PUBLICATIONS2012

Robust parameter estimation for the Ornstein-Uhlenbeck process

Sonja Rieder

In this paper, we derive elementary M- and optimally robust asymptotic linear (AL)-estimates for the parameters of an Ornstein-Uhlenbeck process. Simulation and estimation of the process are already well-studied, see Iacus (Simulation and inference for sto ...

Springer-Verlag2012

Algorithmes d'adaptation de maillages anisotropes et application à l'aérodynamique

Wissam Hassan

The goal of this thesis is to study an anisotropic adaptive algorithm for transonic compressible viscous flow around an airwing. A convection-diffusion model problem is considered, an anisotropic a posteriori error estimator for the H1 semi-norm of the err ...

EPFL2012

A posteriori error estimator for model adaptivity in electrocardiology

Fabio Nobile

We introduce an a posteriori modeling error estimator for the effective computation of electric potential propagation in the heart. Starting from the Bidomain problem and an extended formulation of the simplified Monodomain system, we build a hybrid model, ...

Elsevier2011

Adaptive finite element heterogeneous multiscale method for homogenization problems

Assyr Abdulle, Achim Nonnenmacher

In this paper we present an a posteriori error analysis for elliptic homogenization problems discretized by the finite element heterogeneous multiscale method. Unlike standard finite element methods, our discretization scheme relies on macro- and microfini ...

Elsevier2011

Posterior Features for Template-based ASR

Hervé Bourlard, Joel Praveen Pinto, Serena Soldo

This paper investigates the use of phoneme class conditional probabilities as features (posterior features) for template-based ASR. Using 75 words and 600 words task-independent and speaker-independent setup on Phonebook database, we investigate the use of ...

2011