Space–time least-squares finite elements for parabolic equations

T Führer, M Karkulik - Computers & Mathematics with Applications, 2021 - Elsevier
We present a space–time least-squares finite element method for the heat equation. It is
based on residual minimization in L 2 norms in space–time of an equivalent first order …

[HTML][HTML] Review and computational comparison of adaptive least-squares finite element schemes

P Bringmann - Computers & Mathematics with Applications, 2024 - Elsevier
The convergence analysis for least-squares finite element methods led to various adaptive
mesh-refinement strategies: Collective marking algorithms driven by the built-in a posteriori …

An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD

Q Tang, L Chacón, TV Kolev, JN Shadid… - Journal of Computational …, 2022 - Elsevier
The magnetohydrodynamics (MHD) equations are continuum models used in the study of a
wide range of plasma physics systems, including the evolution of complex plasma dynamics …

Convergence and optimality of adaptive least squares finite element methods

C Carstensen, EJ Park - SIAM Journal on Numerical Analysis, 2015 - SIAM
The first-order div least squares finite element methods (LSFEMs) allow for an immediate a
posteriori error control by the computable residual of the least squares functional. This paper …

Space-time discretizations using constrained first-order system least squares (CFOSLS)

K Voronin, CS Lee, M Neumüller, P Sepulveda… - Journal of …, 2018 - Elsevier
This paper studies finite element discretizations for three types of time-dependent PDEs,
namely heat equation, scalar conservation law and wave equation, which we reformulate as …

Convergence of natural adaptive least squares finite element methods

C Carstensen, EJ Park, P Bringmann - Numerische Mathematik, 2017 - Springer
The first-order div least squares finite element methods provide inherent a posteriori error
estimator by the elementwise evaluation of the functional. In this paper we prove Q-linear …

An adaptive least-squares FEM for the Stokes equations with optimal convergence rates

P Bringmann, C Carstensen - Numerische Mathematik, 2017 - Springer
This paper introduces the first adaptive least-squares finite element method (LS-FEM) for the
Stokes equations with optimal convergence rates based on the newest vertex bisection with …

Numerical results for adaptive (negative norm) constrained first order system least squares formulations

A Schafelner, PS Vassilevski - Computers & Mathematics with Applications, 2021 - Elsevier
We perform a followup computational study of the recently proposed space–time first order
system least squares (FOSLS) method subject to constraints referred to as CFOSLS where …

Multilevel initialization for layer-parallel deep neural network training

EC Cyr, S Günther, JB Schroder - arxiv preprint arxiv:1912.08974, 2019 - arxiv.org
This paper investigates multilevel initialization strategies for training very deep neural
networks with a layer-parallel multigrid solver. The scheme is based on the continuous …

Adaptive first-order system least-squares finite element methods for second-order elliptic equations in nondivergence form

W Qiu, S Zhang - SIAM Journal on Numerical Analysis, 2020 - SIAM
This paper studies adaptive first-order system least-squares finite element methods
(LSFEMs) for second-order elliptic partial differential equations in nondivergence form …