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20182021
most citedSimple and robust equilibrated flux a posteriori estimates for singularly perturbed reaction-diffusion problems

18 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2021

-robust equilibrated flux reconstruction in based on local minimizations. Application to a posteriori analysis of the curl-curl problem

Théophile Chaumont-Frelet, Martin Vohralík

We present a local construction of H(curl)-conforming piecewise polynomials satisfying a prescribed curl constraint. We start from a piecewise polynomial not contained in the H(cur…

math.NA2020

Polynomial-degree-robust H(curl)-stability of discrete minimization in a tetrahedron

Théophile Chaumont-Frelet, Alexandre Ern, Martin Vohralík

We prove that the minimizer in the Nédélec polynomial space of some degree p > 0 of a discrete minimization problem performs as well as the continuous minimizer in H(curl), up to a…

math.NA2020★ 1 cited

Stable broken H(curl) polynomial extensions and p-robust a posteriori error estimates by broken patchwise equilibration for the curl-curl problem

Théophile Chaumont-Frelet, Alexandre Ern, Martin Vohralík

We study extensions of piecewise polynomial data prescribed in a patch of tetrahedra sharing an edge. We show stability in the sense that the minimizers over piecewise polynomial s…

math.NA2019★ 1 cited

Guaranteed and robust -norm a posteriori error estimates for 1D linear advection problems

Alexandre Ern, Martin Vohralík, Mohammad Zakerzadeh

We propose a reconstruction-based a posteriori error estimate for linear advection problems in one space dimension. In our framework, a stable variational ultra-weak formulation is…

math.NA2018★ 18 cited

Simple and robust equilibrated flux a posteriori estimates for singularly perturbed reaction-diffusion problems

Iain Smears, Martin Vohralík

We consider energy norm a posteriori error analysis of conforming finite element approximations of singularly perturbed reaction-diffusion problems on simplicial meshes in arbitrar…