Philipp Bringmann

Orcid: 0000-0002-4546-5165

According to our database1, Philipp Bringmann authored at least 18 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
Unconditional full linear convergence and quasi-optimal complexity of smoothed adaptive finite element methods.
CoRR, January, 2026

2025
Newton's method in adaptive iteratively linearized FEM.
CoRR, December, 2025

Global convergence of adaptive least-squares finite element methods for nonlinear PDEs.
CoRR, September, 2025

Optimal complexity of goal-oriented adaptive FEM for nonsymmetric linear elliptic PDEs.
J. Num. Math., May, 2025

Discrete Helmholtz Decompositions of Piecewise Constant and Piecewise Affine Vector and Tensor Fields.
Found. Comput. Math., April, 2025

On full linear convergence and optimal complexity of adaptive FEM with inexact solver.
Comput. Math. Appl., 2025

2024
Local parameter selection in the C0 interior penalty method for the biharmonic equation.
J. Num. Math., September, 2024

Iterative solvers in adaptive FEM.
CoRR, 2024

Review and computational comparison of adaptive least-squares finite element schemes.
Comput. Math. Appl., 2024

2023
How to prove optimal convergence rates for adaptive least-squares finite element methods.
J. Num. Math., 2023

Scaling-robust built-in a posteriori error estimation for discontinuous least-squares finite element methods.
CoRR, 2023

2022
Computational competition of three adaptive least-squares finite element schemes.
CoRR, 2022

Parameter-free implementation of the quadratic C<sup>0</sup> interior penalty method for the biharmonic equation.
CoRR, 2022

2018
An Adaptive Least-Squares FEM for Linear Elasticity with Optimal Convergence Rates.
SIAM J. Numer. Anal., 2018

Nonlinear discontinuous Petrov-Galerkin methods.
Numerische Mathematik, 2018

2017
Convergence of natural adaptive least squares finite element methods.
Numerische Mathematik, 2017

An adaptive least-squares FEM for the Stokes equations with optimal convergence rates.
Numerische Mathematik, 2017

-adaptive least-squares finite element methods for the 2D Stokes equations of any order with optimal convergence rates.
Comput. Math. Appl., 2017


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