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20192022
most citedA short note on plain convergence of adaptive least-squares finite element methods

13 citations · 13 across the 5 of their papers we have counts for

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math.NA2022

The mass-lumped midpoint scheme for computational micromagnetics: Newton linearization and application to magnetic skyrmion dynamics

Giovanni Di Fratta, Carl-Martin Pfeiler, Dirk Praetorius +1

We discuss a mass-lumped midpoint scheme for the numerical approximation of the Landau-Lifshitz-Gilbert equation, which models the dynamics of the magnetization in ferromagnetic ma…

math.NA2020

Energy contraction and optimal convergence of adaptive iterative linearized finite element methods

Pascal Heid, Dirk Praetorius, Thomas P. Wihler

We revisit a unified methodology for the iterative solution of nonlinear equations in Hilbert spaces. Our key observation is that the general approach from [Heid & Wihler, Math. Co…

math.NA2020

Two-level a posteriori error estimation for adaptive multilevel stochastic Galerkin FEM

Alex Bespalov, Dirk Praetorius, Michele Ruggeri

The paper considers a class of parametric elliptic partial differential equations (PDEs), where the coefficients and the right-hand side function depend on infinitely many (uncerta…

math.NA202013 cited

A short note on plain convergence of adaptive least-squares finite element methods

Thomas Führer, Dirk Praetorius

We show that adaptive least-squares finite element methods driven by the canonical least-squares functional converge under weak conditions on PDE operator, mesh-refinement, and mar…

math.NA2020

Convergence and quasi-optimal cost of adaptive algorithms for nonlinear operators including iterative linearization and algebraic solver

Alexander Haberl, Dirk Praetorius, Stefan Schimanko +1

We consider a second-order elliptic boundary value problem with strongly monotone and Lipschitz-continuous nonlinearity. We design and study its adaptive numerical approximation in…

math.NA2020

Optimal convergence rates for goal-oriented FEM with quadratic goal functional

Roland Becker, Michael Innerberger, Dirk Praetorius

We consider a linear elliptic PDE and a quadratic goal functional. The goal-oriented adaptive FEM algorithm (GOAFEM) solves the primal as well as a dual problem, where the goal fun…