:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Downing, Shaunagh, Gazzola, Silvia, Graham, Ivan G., Spence, Euan A.
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/2301.10762
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Theory of two-level Schwarz preconditioners with piecewise-polynomial coarse spaces for the high-frequency Helmholtz equation
by: Graham, Ivan G., et al.
Published: (2025)

Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces
by: Ehrhardt, Matthias J., et al.
Published: (2024)

Automatic nonstationary anisotropic Tikhonov regularization through bilevel optimization
by: Gazzola, Silvia, et al.
Published: (2024)

Preconditioning FEM discretisations of the high-frequency Helmholtz and Maxwell equations by either perturbing the coefficients or adding absorption
by: Spence, Euan A.
Published: (2025)

Schwarz methods with PMLs for Helmholtz problems: fast convergence at high frequency
by: Galkowski, Jeffrey, et al.
Published: (2024)

Convergence of overlapping domain decomposition methods with PML transmission conditions applied to nontrapping Helmholtz problems
by: Galkowski, Jeffrey, et al.
Published: (2024)

Massively parallel Schwarz methods for the high frequency Helmholtz equation
by: Xie, Yan, et al.
Published: (2026)

Numerical analysis of the high-frequency Helmholtz equation using semiclassical analysis
by: Galkowski, Jeffrey, et al.
Published: (2025)

Sharp bounds on Helmholtz impedance-to-impedance maps and application to overlapping domain decomposition
by: Lafontaine, David, et al.
Published: (2022)

A two-level domain-decomposition preconditioner for the time-harmonic Maxwell's equations
by: Bonazzoli, Marcella, et al.
Published: (2017)

Two-level preconditioners for the Helmholtz equation
by: Bonazzoli, Marcella, et al.
Published: (2017)

Sharp preasymptotic error bounds for the Helmholtz $h$-FEM
by: Galkowski, Jeffrey, et al.
Published: (2023)

Convergence theory for two-level hybrid Schwarz preconditioners for high-frequency Helmholtz problems
by: Galkowski, Jeffrey, et al.
Published: (2025)

The geometric error is less than the pollution error when solving the high-frequency Helmholtz equation with high-order FEM on curved domains
by: Chaumont-Frelet, Théophile, et al.
Published: (2024)

Non-uniform finite-element meshes defined by ray dynamics for Helmholtz problems
by: Averseng, Martin, et al.
Published: (2025)

Helmholtz boundary integral methods and the pollution effect
by: Galkowski, Jeffrey, et al.
Published: (2025)

Coercive second-kind boundary integral equations for the Laplace Dirichlet problem on Lipschitz domains
by: Chandler-Wilde, Simon N., et al.
Published: (2022)

Helmholtz FEM solutions are locally quasi-optimal modulo low frequencies
by: Averseng, Martin, et al.
Published: (2023)

Frequency-Explicit Shape Holomorphy in Uncertainty Quantification for Acoustic Scattering
by: Hiptmair, Ralf, et al.
Published: (2024)

Optimal Space-Variant Anisotropic Tikhonov Regularization for Full Waveform Inversion of Sparse Data
by: Gholami, Ali, et al.
Published: (2025)

Randomized Krylov methods for inverse problems
by: Chung, Julianne, et al.
Published: (2025)

Sharp error bounds for edge-element discretisations of the high-frequency Maxwell equations
by: Chaumont-Frelet, Théophile, et al.
Published: (2024)

New flexible and inexact Golub-Kahan algorithms for inverse problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

The $hp$-FEM applied to the Helmholtz equation with PML truncation does not suffer from the pollution effect
by: Galkowski, Jeffrey, et al.
Published: (2022)

Alternating steepest descent methods for tensor completion with applications to spectromicroscopy
by: Townsend, Oliver, et al.
Published: (2025)

TRIPs-Py: Techniques for Regularization of Inverse Problems in Python
by: Pasha, Mirjeta, et al.
Published: (2024)

A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures
by: Franceschini, Andrea, et al.
Published: (2021)

Quasi-Monte Carlo methods for uncertainty quantification of wave propagation and scattering problems modelled by the Helmholtz equation
by: Graham, Ivan G., et al.
Published: (2025)

Randomized Flexible LSQR and LSMR with applications to inverse problems
by: Bucci, Alberto, et al.
Published: (2026)

Shapley values and machine learning to characterize metamaterials for seismic applications
by: Oniz, D., et al.
Published: (2021)

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
by: Prusak, Ivan, et al.
Published: (2024)

A deep learning-based surrogate model for seismic data assimilation in fault activation modeling
by: Millevoi, Caterina, et al.
Published: (2024)

On Godunov-type finite volume methods for seismic wave propagation
by: Barrios, Juan, et al.
Published: (2024)

Bounding the spectral gap for an elliptic eigenvalue problem with uniformly bounded stochastic coefficients
by: Gilbert, Alexander D., et al.
Published: (2019)

Photoacoustic image reconstruction via deep learning
by: Antholzer, Stephan, et al.
Published: (2019)

Machine learning-based parameter optimization for Müntz spectral methods
by: Zeng, Wei, et al.
Published: (2025)

Spectral coarse spaces based on indefinite operators: the $H_k$-GenEO method
by: Chaumont-Frelet, Théophile, et al.
Published: (2026)

Higher-Order Corrections to Optimisers based on Newton's Method
by: Brooks, S. J.
Published: (2023)

Variational Data-Consistent Assimilation
by: Spence, Rylan, et al.
Published: (2025)

Tuning Butterworth filter's parameters in SPECT reconstructions via kernel-based Bayesian optimization with a no-reference image evaluation metric
by: Pastrello, Luca, et al.
Published: (2025)