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We give a novel convergence theory for two-level hybrid Schwarz domain-decomposition (DD) methods for finite-element discretisations of the high-frequency Helmholtz equation. This theory gives sufficient conditions for the preconditioned…

Numerical Analysis · Mathematics 2025-09-29 Jeffrey Galkowski , Euan A. Spence

Meshless collocation with multiquadric radial basis functions (MQ-RBFs) delivers high accuracy for the three-dimensional Helmholtz equation but produces dense, severely ill-conditioned linear systems. We develop and evaluate three…

Numerical Analysis · Mathematics 2025-11-14 Mohamed El Guide , Khalide Jbilou , Kamal Lachhab , Driss Ouazar

Developing efficient solvers for large-scale multi-term linear matrix equations remains a central challenge in numerical linear algebra and is still largely unresolved. This paper introduces a methodology leveraging CUR decomposition for…

Numerical Analysis · Mathematics 2025-11-19 Saeed Akbari , Damiano Lombardi , Hessam Babaee

Perfectly matched layers (PMLs) are formulated and applied to numerically solve nonlocal Helmholtz equations in one and two dimensions. In one dimension, we present the PML modifications for the nonlocal Helmholtz equation with general…

Numerical Analysis · Mathematics 2021-01-27 Yu Du , Jiwei Zhang

The reliable and accurate numerical approximation of the $p$-Laplacian is particularly challenging in the extreme regimes $p \to 1^{+}$ and $p \gg 1$, where the operator becomes either highly singular or strongly degenerate, often causing…

Numerical Analysis · Mathematics 2026-05-28 Tianhao Hu , Guanglian Li , Fengru Wang , Yifeng Xu , Zhi Zhou

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 difficulties that arise are similar to those encountered in the case…

Numerical Analysis · Mathematics 2024-08-06 Marcella Bonazzoli , Victorita Dolean , Ivan Graham , Euan Spence , Pierre-Henri Tournier

This paper presents an efficient parallel direct algorithm with near-optimal complexity for the compact fourth and sixth-order approximation of the three-dimensional Helmholtz equations [1] with the problem coefficient depending on only one…

Numerical Analysis · Mathematics 2020-03-13 Ronald Gonzales , Yury Gryazin , Yun Teck Lee

The research of two-level overlapping Schwarz (TL-OS) method based on constrained energy minimizing coarse space is still in its infancy, and there exist some defects, e.g. mainly for second order elliptic problem and too heavy…

Numerical Analysis · Mathematics 2021-06-04 Qing Lu , Junxian Wang , Shi Shu , Jie Peng

We consider deflation and augmentation techniques for accelerating the convergence of Krylov subspace methods for the solution of nonsingular linear algebraic systems. Despite some formal similarity, the two techniques are conceptually…

Numerical Analysis · Mathematics 2015-10-20 André Gaul , Martin H. Gutknecht , Jörg Liesen , Reinhard Nabben

The recently developed Hierarchical Poincar\'e-Steklov (HPS) method is a high-order discretization technique that comes with a direct solver. Results from previous papers demonstrate the method's ability to solve Helmholtz problems to high…

Numerical Analysis · Mathematics 2019-04-29 Natalie Beams , Adrianna Gillman , Russell J. Hewett

A delay Lyapunov matrix corresponding to an exponentially stable system of linear time-invariant delay differential equations can be characterized as the solution of a boundary value problem involving a matrix valued delay differential…

Numerical Analysis · Mathematics 2018-08-28 Wim Michiels , Bin Zhou

In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In our method, we construct on each iteration a Krylov subspace…

Machine Learning · Statistics 2011-11-21 Oriol Vinyals , Daniel Povey

In this work, we consider alternative discretizations for PDEs which use expansions involving integral operators to approximate spatial derivatives. These constructions use explicit information within the integral terms, but treat boundary…

Computational Physics · Physics 2024-11-12 Andrew J. Christlieb , Pierson T. Guthrey , William A. Sands , Mathialakan Thavappiragasm

We propose a two-level iterative scheme for solving general sparse linear systems. The proposed scheme consists of a sparse preconditioner that increases the skew-symmetric part and makes the main diagonal of the coefficient matrix as close…

Numerical Analysis · Mathematics 2020-09-16 Murat Manguoglu , Volker Mehrmann

In this work, we propose a novel preconditioned Krylov subspace method for solving an optimal control problem of wave equations, after explicitly identifying the asymptotic spectral distribution of the involved sequence of linear…

Numerical Analysis · Mathematics 2023-07-25 Sean Hon , Jiamei Dong , Stefano Serra-Capizzano

In this paper, based on a domain decomposition (DD) method, we shall propose an efficient two-level preconditioned Helmholtz-Jacobi-Davidson (PHJD) method for solving the algebraic eigenvalue problem resulting from the edge element…

Numerical Analysis · Mathematics 2021-01-12 Qigang Liang , Xuejun Xu

Surface plasmon polaritons propagating along curved metal-dielectric interfaces experience geometry-induced modifications absent on flat surfaces. In this work, we derive a covariant, effective two-dimensional wave equation for the…

Quantum Physics · Physics 2026-03-31 Florian Bönsel , Flore K. Kunst

A parallelization of a sweeping preconditioner for 3D Helmholtz equations without large cavities is introduced and benchmarked for several challenging velocity models. The setup and application costs of the sequential preconditioner are…

Numerical Analysis · Computer Science 2013-11-26 Jack Poulson , Björn Engquist , Siwei Li , Lexing Ying

The Schr\"odinger equation defines the dynamics of quantum particles which has been an area of unabated interest in physics. We demonstrate how simple transformations of the Schr\"odinger equation leads to a coupled linear system, whereby…

Numerical Analysis · Computer Science 2015-03-17 Hisham bin Zubair , Bram Reps , Wim Vanroose

We apply novel inner-iteration preconditioned Krylov subspace methods to the interior-point algorithm for linear programming (LP). Inner-iteration preconditioners recently proposed by Morikuni and Hayami enable us to overcome the severe…

Optimization and Control · Mathematics 2021-11-09 Yiran Cui , Keiichi Morikuni , Takashi Tsuchiya , Ken Hayami