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20202026
most citedLarge-scale frequency-domain seismic wave modeling on {\it{h}}-adaptive tetrahedral meshes with iterative solver and multi-level domain-decomposition preconditioners

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math.NA2026

Efficient Fine-Scale Simulation of Nonlinear Hyperelastic Lattice Structures

Clément Guillet, Thibaut Hirschler, Pierre Jolivet +2

With the growing maturity of additive manufacturing, the fabrication of architected or lattice-based metamaterials has become a reality for industrial applications. These materials…

math.NA2022

Efficient Algebraic Two-Level Schwarz Preconditioner For Sparse Matrices

Hussam Al Daas, Pierre Jolivet, Tyrone Rees

Domain decomposition methods are among the most efficient for solving sparse linear systems of equations. Their effectiveness relies on a judiciously chosen coarse space. Originall…

math.NA2021

A Robust Algebraic Multilevel Domain Decomposition Preconditioner For Sparse Symmetric Positive Definite Matrices

Hussam Al Daas, Pierre Jolivet

Domain decomposition (DD) methods are widely used as preconditioner techniques. Their effectiveness relies on the choice of a locally constructed coarse space. Thus far, this const…

math.NA2021

Several ways to achieve robustness when solving wave propagation problems

Niall Bootland, Victorita Dolean, Pierre Jolivet +3

Wave propagation problems are notoriously difficult to solve. Time-harmonic problems are especially challenging in mid and high frequency regimes. The main reason is the oscillator…

math.NA2020

A comparison of coarse spaces for Helmholtz problems in the high frequency regime

Niall Bootland, Victorita Dolean, Pierre Jolivet +1

Solving time-harmonic wave propagation problems in the frequency domain and within heterogeneous media brings many mathematical and computational challenges, especially in the high…