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Space–time least-squares finite elements for parabolic equations
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 …
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 …
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
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 …
wide range of plasma physics systems, including the evolution of complex plasma dynamics …
Convergence and optimality of adaptive least squares finite element methods
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 …
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)
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 …
namely heat equation, scalar conservation law and wave equation, which we reformulate as …
Convergence of natural adaptive least squares finite element methods
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 …
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
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 …
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 …
system least squares (FOSLS) method subject to constraints referred to as CFOSLS where …
Multilevel initialization for layer-parallel deep neural network training
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 …
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
This paper studies adaptive first-order system least-squares finite element methods
(LSFEMs) for second-order elliptic partial differential equations in nondivergence form …
(LSFEMs) for second-order elliptic partial differential equations in nondivergence form …