activity
20162026
most citedMicrowave Tomographic Imaging of Cerebrovascular Accidents by Using High-Performance Computing

32 citations · 64 across the 13 of their papers we have counts for

collaborators

15 papers

math.NA2026

A Guided Tour of Modern Domain Decomposition: From Schwarz Iterations to Robust Preconditioners and HPC Implementations

Victorita Dolean, Pierre Jolivet, Frédéric Nataf +1

Domain decomposition methods (DDMs) provide a unifying framework for the scalable numerical solution of partial differential equations. Originating from Schwarz's alternating metho…

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…

cs.CE2023

Multilevel Scalable Solvers for Stochastic Linear and Nonlinear Problems

Sudhi Sharma, Pierre Jolivet, Victorita Dolean +1

This article discusses the uncertainty quantification (UQ) for time-independent linear and nonlinear partial differential equation (PDE)-based systems with random model parameters…

math.OC2022★ 1 cited

Does 3D frequency-domain FWI of full-azimuth/long-offset OBN data feasible? The Gorgon case study

S. Operto, P. Amestoy, H. S. Aghamiry +13

Frequency-domain Full Waveform Inversion (FWI) is potentially amenable to efficient processing of full-azimuth long-offset stationary-recording seabed acquisition carried out with…

cs.CE2022

Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing

Sudhi P. V., Victorita Dolean, Pierre Jolivet +4

A nonlinear partial differential equation (PDE) based compartmental model of COVID-19 provides a continuous trace of infection over space and time. Finer resolutions in the spatial…

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.AP2021

Three-dimensional finite-difference & finite-element frequency-domain wave simulation with multi-level optimized additive Schwarz domain-decomposition preconditioner: A tool for FWI of sparse node datasets

P. -H. Tournier, P. Jolivet, V. Dolean +3

Efficient frequency-domain Full Waveform Inversion (FWI) of long-offset node data can be designed with a few discrete frequencies hence allowing for compact volume of data to be ma…

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

A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations

Hussam Al Daas, Pierre Jolivet, Jennifer Scott

Solving the normal equations corresponding to large sparse linear least-squares problems is an important and challenging problem. For very large problems, an iterative solver is ne…

math.NA2021★ 1 cited

Inexact subdomain solves using deflated GMRES for Helmholtz problems

Niall Bootland, Vandana Dwarka, Pierre Jolivet +2

We examine the use of a two-level deflation preconditioner combined with GMRES to locally solve the subdomain systems arising from applying domain decomposition methods to Helmholt…

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★ 29 cited

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…

physics.comp-ph2020★ 1 cited

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

Victorita Dolean, Pierre Jolivet, Stéphane Operto +1

Frequency-domain full-waveform inversion (FWI) is suitable for long-offset stationary-recording acquisition, since reliable subsurface models can be reconstructed with a few freque…

physics.comp-ph2020

Iterative frequency-domain seismic wave solvers based on multi-level domain-decomposition preconditioners

Victorita Dolean, Pierre Jolivet, Stéphane Operto +1

Frequency-domain full-waveform inversion (FWI) is suitable for long-offset stationary-recording acquisition, since reliable subsurface models can be reconstructed with a few freque…

cs.CE2016★ 32 cited

Microwave Tomographic Imaging of Cerebrovascular Accidents by Using High-Performance Computing

P. -H. Tournier, I. Aliferis, M. Bonazzoli +10

The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem relying on a minimizati…