Journal papers
Published
A relaxed, damped Kacanov scheme for the p(x)-Poisson equation, Pascal Heid, Partial Differential Equations and Applications (2023)
Adaptive FEM with quasi-optimal overall cost for nonsymmetric linear elliptic PDEs, Maximilian Brunner, Pascal Heid, Michael Innerberger, Ani Miraci, Dirk Praetorius, Julian Streitberger, IMA Journal of Numerical Analysis (2023)
An adaptive damped Newton method for strongly monotone and Lipschitz continuous operator equations, Pascal Heid, Archiv der Mathematik (2023)
Gradient flow finite element discretisations with energy-based adaptivity for excited states of Schrödinger's equation, Pascal Heid, Journal of Computational Mathematics 41 (2023)
A numerical energy minimisation approach for semilinear diffusion-reaction boundary value problems based on steady state iterations, Mario Amrein, Pascal Heid, and Thomas P. Wihler, SIAM Journal on Numerical Analysis 61 (2023).
Nonlinear iterative approximation of steady incompressible chemically reacting flows, Pablo Alexei Gazca-Orozco, Pascal Heid, and Endre Süli, Comptes Rendus. Mécanique (2023)
An adaptive iterative linearised finite element method for implicitly constituted incompressible fluid flow problems and its application to Bingham fluids, Pascal Heid and Endre Süli, Applied Numerical Mathematics 181 (2022)
A link between the steepest descent method and fixed-point iterations, Pascal Heid, Optimization Letters (2022)
A modified Kacanov iteration scheme with application to quasilinear diffusion models, Pascal Heid and Thomas P. Wihler, ESAIM: Mathematical Modelling and Numerical Analysis 56 (2022)
On the convergence rate of the Kačanov scheme for shear-thinning fluids, Pascal Heid and Endre Süli, Calcolo 59, 4 (2022)
Energy contraction and optimal convergence of adaptive iterative linearized finite element methods, Pascal Heid, Dirk Praetorius, and Thomas P. Wihler, Computational Methods in Applied Mathematics 21 (2021)
Gradient flow finite element discretizations with energy-based adaptivity for the Gross–Pitaevskii equation, Pascal Heid, Benjamin Stamm, and Thomas P. Wihler, Journal of Computational Physics 436 (2021)
Adaptive local minimax Galerkin methods for variational problems, Pascal Heid and Thomas P. Wihler, SIAM Journal on Scientific Computing 43 (2021) (Erratum)
On the convergence of adaptive iterative linearized Galerkin methods, Pascal Heid and Thomas P. Wihler, Calcolo 57 (2020)
Adaptive iterative linearization Galerkin methods for nonlinear problems, Pascal Heid and Thomas P. Wihler, Mathematics of Computation 89 (2020)
Accepted
Preprint
Approximation Theory, Computing, and Deep Learning on the Wasserstein Space, Massimo Fornasier, Pascal Heid, and Giacomo E. Sodini, https://arxiv.org/abs/2310.19548