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Solving time-harmonic wave propagation problems by iterative methods is a difficult task, and over the last two decades, an important research effort has gone into developing preconditioners for the simplest representative of such wave…

Numerical Analysis · Mathematics 2018-02-22 Martin J. Gander , Hui Zhang

We present in this paper the results of a research motivated by the need of a very fast solution of thermal flow in solar receivers. These receivers are composed by a large number of parallel pipes with the same geometry. We have introduced…

Numerical Analysis · Mathematics 2023-05-31 Manuel Bernardino del Pino , Tomás Chacón Rebollo , Macarena Gómez Mármol

Classically transmission conditions between subdomains are optimized for a simplified two subdomain decomposition to obtain optimized Schwarz methods for many subdomains. We investigate here if such a simplified optimization suffices for…

Numerical Analysis · Mathematics 2021-08-05 Victorita Dolean , Martin J. Gander , Alexandros Kyriakis

In this paper, we revisit the nonoverlapping domain decomposition methods for solving elliptic problems with high contrast coefficients. Some interesting results are discovered. We find that the Dirichlet-Neumann algorithm and Robin-Robin…

Numerical Analysis · Mathematics 2022-12-26 Xuyang Na , Xuejun Xu

The "flexible boundary condition" method, introduced by Sinclair and coworkers in the 1970s, remains among the most popular methods for simulating isolated two-dimensional crystalline defects, embedded in an effectively infinite atomistic…

Numerical Analysis · Mathematics 2021-10-15 M. Hodapp

Parabolic equations on evolving domains model a multitude of applications including various industrial processes such as the molding of heated materials. Such equations are numerically challenging as they require large-scale computations…

Analysis of PDEs · Mathematics 2025-03-10 Amal Alphonse , Ana Djurdjevac , Emil Engström , Eskil Hansen

It is shown that the Schrodinger equation can be cast in the form of two coupled real conservation equations, in Euclidean spacetime in the free case and in a five-dimensional Eisenhart geometry in the presence of an external potential.…

Quantum Physics · Physics 2013-12-17 Peter Holland

Neural networks are powerful tools for approximating high dimensional data that have been used in many contexts, including solution of partial differential equations (PDEs). We describe a solver for multiscale fully nonlinear elliptic…

Numerical Analysis · Mathematics 2025-03-07 Shi Chen , Zhiyan Ding , Qin Li , Stephen J. Wright

We propose domain decomposition preconditioners for the solution of an integral equation formulation of forward and inverse acoustic scattering problems with point scatterers. We study both forward and inverse problems and propose…

Numerical Analysis · Mathematics 2019-09-17 Carlos Borges , George Biros

In this article, we analyse the convergence behaviour and scalability properties of the one-level Parallel Schwarz method (PSM) for domain decomposition problems in which the boundaries of many subdomains lie in the interior of the global…

Numerical Analysis · Mathematics 2019-10-21 Gabriele Ciaramella , Muhammad Hassan , Benjamin Stamm

The Helmholtz equation is a prototypical model for time-harmonic wave propagation. Numerical solutions become increasingly challenging as the wave number $k$ grows, due to the equation's elliptic yet noncoercive character and the highly…

Numerical Analysis · Mathematics 2025-08-01 Anjiao Gu , Shi Jin , Chuwen Ma

We present new Dirichlet-Neumann and Neumann-Dirichlet algorithms with a time domain decomposition applied to unconstrained parabolic optimal control problems. After a spatial semi-discretization, we use the Lagrange multiplier approach to…

Numerical Analysis · Mathematics 2023-08-25 Martin Jakob Gander , Liu-Di Lu

In this paper, we present a new multiscale domain decomposition algorithm for computing solutions of static Eikonal equations. The new method is an iterative two-scale method that uses a parareal-like update scheme in combination with…

Numerical Analysis · Mathematics 2018-06-13 Lindsay Martin , Richard Tsai

Even in cases where quantum linear solvers provide significant speedup compared to their classical counterparts, their performance depends on some of the same parameters. In particular, the condition number of the matrix which is to be…

Numerical Analysis · Mathematics 2026-05-26 Elise Fressart , Michel Nowak , Nicole Spillane

This paper introduces a novel approach to analyzing overlapping Schwarz methods for N\'{e}d\'{e}lec and Raviart--Thomas vector field problems. The theory is based on new regular stable decompositions for vector fields that are robust to the…

Numerical Analysis · Mathematics 2024-04-19 Duk-Soon Oh , Shangyou Zhang

We propose an adaptive approach in picking the wave-number parameter of absorbing boundary conditions for Schr\"{o}dinger-type equations. Based on the Gabor transform which captures local frequency information in the vicinity of artificial…

Numerical Analysis · Mathematics 2009-11-11 Zhenli Xu , Houde Han , Xiaonan Wu

In this work, we propose and analyze two two-level hybrid Schwarz preconditioners for solving the Helmholtz equation with high wave number in two and three dimensions. Both preconditioners are defined over a set of overlapping subdomains,…

Numerical Analysis · Mathematics 2025-02-26 Peipei Lu , Xuejun Xu , Bowen Zheng , Jun Zou

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

Two-level domain decomposition preconditioners lead to fast convergence and scalability of iterative solvers. However, for highly heterogeneous problems, where the coefficient function is varying rapidly on several possibly non-separated…

Numerical Analysis · Mathematics 2022-07-13 Alexander Heinlein , Kathrin Smetana

Optimization with time-dependent partial differential equations (PDEs) as constraints {appears} in many science and engineering applications. The associated first-order necessary optimality system consists of one forward and one backward…

Numerical Analysis · Mathematics 2017-09-28 Jun Liu , Zhu Wang
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