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In this work, we address the efficient computation of parameterized systems of linear equations, with possible nonlinear parameter dependence. When the matrix is highly sensitive to the parameters, mean-based preconditioning might not be…

数值分析 · 数学 2026-05-29 Wouter Gerrit van Harten , Laura Scarabosio

In this paper, we propose a parallel space-time domain decomposition method for solving an unsteady source identification problem governed by the linear convection-diffusion equation. Traditional approaches require to solve repeatedly a…

最优化与控制 · 数学 2015-08-26 Xiaomao Deng , Xiao-chuan Cai , Jun Zou

The paper is concerned with overlapping domain decomposition and exponential time differencing for the diffusion equation discretized in space by cell-centered finite differences. Two localized exponential time differencing methods are…

数值分析 · 数学 2017-11-08 Thi-Thao-Phuong Hoang , Lili Ju , Zhu Wang

We study the problem of minimizing the sum of potentially non-differentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communication in the network is not coordinated. We study the…

最优化与控制 · 数学 2021-02-17 Yankai Lin , Iman Shames , Dragan Nesic

We provide a limiting absorption principle for the self-adjoint realizations of Laplace operators corresponding to boundary conditions on (relatively open parts $\Sigma$ of) compact hypersurfaces $\Gamma=\partial\Omega$,…

数学物理 · 物理学 2019-08-08 Andrea Mantile , Andrea Posilicano , Mourad Sini

We are interested in obtaining approximate solutions to parameterized linear systems of the form $A(\mu) x(\mu) = b$ for many values of the parameter $\mu$. Here $A(\mu)$ is large, sparse, and nonsingular, with a nonlinear analytic…

数值分析 · 数学 2022-06-13 Siobhán Correnty , Elias Jarlebring , Kirk M. Soodhalter

Many idealized problems in signal processing, machine learning and statistics can be reduced to the problem of finding the symmetric canonical decomposition of an underlying symmetric and orthogonally decomposable (SOD) tensor. Drawing…

数值分析 · 计算机科学 2017-05-31 Cun Mu , Daniel Hsu , Donald Goldfarb

This paper introduces several new algorithms for consensus over the special orthogonal group. By relying on a convex relaxation of the space of rotation matrices, consensus over rotation elements is reduced to solving a convex problem with…

最优化与控制 · 数学 2014-10-08 Nikolai Matni , Matanya B. Horowitz

Motivated by recent work on coarse spaces for Helmholtz problems, we provide in this paper a comparative study on the use of spectral coarse spaces of GenEO type for heterogeneous indefinite elliptic problems within an additive overlapping…

数值分析 · 数学 2023-05-03 Niall Bootland , Victorita Dolean , Ivan G. Graham , Chupeng Ma , Robert Scheichl

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…

We present a convergence theory for Optimized Schwarz Methods that rely on a non-local exchange operator and covers the case of coercive possibly non-self-adjoint impedance operators. This analysis also naturally deals with the presence of…

数值分析 · 数学 2022-08-19 Xavier Claeys

This paper addresses the construction and analysis of a class of domain decomposition methods for the iterative solution of the quasi-static Biot problem in three-field formulation. The considered discrete model arises from time…

数值分析 · 数学 2024-04-26 Stefan Meggendorfer , Guido Kanschat , Johannes Kraus

Highly heterogeneous, anisotropic coefficients, e.g. in the simulation of carbon-fibre composite components, can lead to extremely challenging finite element systems. Direct solvers for the resulting large and sparse linear systems suffer…

数值分析 · 数学 2021-06-16 Peter Bastian , Robert Scheichl , Linus Seelinger , Arne Strehlow

This paper gives a geometric description of functional spaces related to Domain Decomposition techniques for computing solutions of Laplace and Helmholtz equations. Understanding the geometric structure of these spaces leads to algorithms…

偏微分方程分析 · 数学 2009-05-21 Mikhael Balabane

For some typical and widely used non-convex half-quadratic regularization models and the Ambrosio-Tortorelli approximate Mumford-Shah model, based on the Kurdyka-\L ojasiewicz analysis and the recent nonconvex proximal algorithms, we…

最优化与控制 · 数学 2021-07-30 Shengxiang Deng , Ismail Ben Ayed , Hongpeng Sun

Two-scale homogenization limits of parabolic cross-diffusion systems in a heterogeneous medium with no-flux boundary conditions are proved. The heterogeneity of the medium is reflected in the diffusion coefficients or by the perforated…

偏微分方程分析 · 数学 2018-10-18 Ansgar Juengel , Mariya Ptashnyk

This paper focuses on the design, analysis and implementation of a new preconditioning concept for linear second order partial differential equations, including the convection-diffusion-reaction problems discretized by Galerkin or…

We establish a rigidity theorem for annular sector-like domains in the setting of overdetermined elliptic problems on model Riemannian manifolds. Specifically, if such a domain admits a solution to the inhomogeneous Helmholtz equation…

偏微分方程分析 · 数学 2025-06-03 João Marcos do Ó , Jaqueline de Lima , Márcio Santos

The development of scalable and wavenumber-robust iterative solvers for Helmholtz problems is challenging but also relevant for various application fields. In this work, two-level Schwarz domain decomposition preconditioners are enhanced by…

数值分析 · 数学 2024-08-08 Erik Sieburgh , Alexander Heinlein , Vandana Dwarka , Cornelis Vuik

This paper proposes a rational filtering domain decomposition technique for the solution of large and sparse symmetric generalized eigenvalue problems. The proposed technique is purely algebraic and decomposes the eigenvalue problem…

数值分析 · 数学 2017-11-28 Vassilis Kalantzis , Yuanzhe Xi , Yousef Saad
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