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20052026
most citedMultilevel domain decomposition-based architectures for physics-informed neural networks

96 citations · 303 across the 55 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.NA2017★ 8 cited

An example of explicit implementation strategy and preconditioning for the high order edge finite elements applied to the time-harmonic Maxwell's equations

Marcella Bonazzoli, Victorita Dolean, Frédéric Hecht +1

In this paper we focus on high order finite element approximations of the electric field combined with suitable preconditioners, to solve the time-harmonic Maxwell's equations in w…

math.NA2017★ 49 cited

Domain decomposition preconditioning for the high-frequency time-harmonic Maxwell equations with absorption

Marcella Bonazzoli, Victorita Dolean, Ivan G. Graham +2

This paper rigorously analyses preconditioners for the time-harmonic Maxwell equations with absorption, where the PDE is discretised using curl-conforming finite-element methods of…

math.NA2017

Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations

Gabriel R. Barrenechea, Michał Bosy, Victorita Dolean

Solving the linear elasticity and Stokes equations by an optimal domain decomposition method derived algebraically involves the use of non standard interface conditions. The one-le…

math.NA2017★ 13 cited

Two-level preconditioners for the Helmholtz equation

Marcella Bonazzoli, Victorita Dolean, Ivan Graham +2

In this paper we compare numerically two different coarse space definitions for two-level domain decomposition preconditioners for the Helmholtz equation, both in two and three dim…

math.NA2017★ 5 cited

A two-level domain-decomposition preconditioner for the time-harmonic Maxwell's equations

Marcella Bonazzoli, Victorita Dolean, Ivan Graham +2

The construction of fast iterative solvers for the indefinite time-harmonic Maxwell's system at mid- to high-frequency is a problem of great current interest. Some of the difficult…