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By applying the linearly implicit conservative difference scheme proposed in [D.-L. Wang, A.-G. Xiao, W. Yang. J. Comput. Phys. 2014;272:670-681], the system of repulsive space fractional coupled nonlinear Schr\"odinger equations leads to a…

Numerical Analysis · Mathematics 2024-10-18 Fei-Yan Zhang , Xi Yang , Chao Chen

We derive a mixed-dimensional 3D-1D formulation of the electrostatic equation in two domains with different dielectric constants to compute, with an affordable computational cost, the electric field and potential in the relevant case of…

Numerical Analysis · Mathematics 2024-10-07 Beatrice Crippa , Anna Scotti , Andrea Villa

The block structure of double saddle-point problems has prompted extensive research into efficient preconditioners. This paper introduces a novel class of three-by-three block preconditioners tailored for such systems from the…

Numerical Analysis · Mathematics 2025-12-09 Achraf Badahmane

We consider spectral problems for Laplace operator in 3D rod structures with a small cross section of diameter $O(\varepsilon)$, $\varepsilon$ being a positive parameter. The boundary conditions are Dirichlet (Neumann, respectively) on the…

Analysis of PDEs · Mathematics 2025-12-29 Pablo Benavent-Ocejo , Delfina Gómez , Maria-Eugenia Pérez-Martínez

This paper focuses on the linearly coupled critical fractional Schr\"{o}dinger system \begin{equation*} \begin{cases} \epsilon^{2s}(-\triangle)^s u +a(x)u=u^p+\lambda v\quad &\text{in}\ \mathbb{R}^N,\\ \epsilon^{2s}(-\triangle)^s v…

Analysis of PDEs · Mathematics 2018-12-20 Shijie Qi , Peihao Zhao

The preconditioned iterative solution of large-scale saddle-point systems is of great importance in numerous application areas, many of them involving partial differential equations. Robustness with respect to certain problem parameters is…

Numerical Analysis · Mathematics 2021-04-22 Roland Herzog

This paper introduces a new sweeping preconditioner for the iterative solution of the variable coefficient Helmholtz equation in two and three dimensions. The algorithms follow the general structure of constructing an approximate $LDL^t$…

Numerical Analysis · Mathematics 2010-08-03 Björn Engquist , Lexing Ying

In this article, we present a parallel recursive algorithm based on multi-level domain decomposition that can be used as a precondtioner to a Krylov subspace method to solve sparse linear systems of equations arising from the discretization…

Numerical Analysis · Mathematics 2012-10-24 Rahul S. Sampath , Bobby Philip , Srikanth Allu , Srdjan Simunovic

Stochastic Galerkin finite element discretizations of partial differential equations with coefficients characterized by arbitrary distributions lead, in general, to fully block dense linear systems. We propose two novel strategies for…

Numerical Analysis · Mathematics 2014-07-31 Bedřich Sousedík , Roger G. Ghanem

The bidomain model is widely used in electro-cardiology to simulate spreading of excitation in the myocardium and electrocardiograms. It consists of a system of two parabolic reaction diffusion equations coupled with an ODE system. Its…

Numerical Analysis · Mathematics 2017-12-06 Charles Pierre

We present preconditioning techniques to solve linear systems of equations with a block two-by-two and three-by-three structure arising from finite element discretizations of the fictitious domain method with Lagrange multipliers. In…

Numerical Analysis · Mathematics 2026-03-09 Michele Benzi , Marco Feder , Luca Heltai , Federica Mugnaioni

We use a conformal mapping technique to study the Laplacian transfer across a rough interface. Natural Dirichlet or Von Neumann boundary condition are simply read by the conformal map. Mixed boundary condition, albeit being more complex can…

Other Condensed Matter · Physics 2016-08-16 Damien Vandembroucq , Stéphane Roux

Due to the indefiniteness and poor spectral properties, the discretized linear algebraic system of the vector Laplacian by mixed finite element methods is hard to solve. A block diagonal preconditioner has been developed and shown to be an…

Numerical Analysis · Mathematics 2016-01-19 Long Chen , Yongke Wu , Lin Zhong , Jie Zhou

Efficient algorithms for the solution of partial differential equations on parallel computers are often based on domain decomposition methods. Schwarz preconditioners combined with standard Krylov space solvers are widely used in this…

High Energy Physics - Lattice · Physics 2009-11-10 Martin Lüscher

In many recent applications when new materials and technologies are developed it is important to describe and simulate new nonlinear and nonlocal diffusion transport processes. A general class of such models deals with nonlocal fractional…

Numerical Analysis · Mathematics 2024-12-20 Raimondas Ciegis , Petr Vabishchevich

Use of the stochastic Galerkin finite element methods leads to large systems of linear equations obtained by the discretization of tensor product solution spaces along their spatial and stochastic dimensions. These systems are typically…

Numerical Analysis · Mathematics 2014-07-17 Bedřich Sousedík , Roger G. Ghanem , Eric T. Phipps

An equation containing a fractional power of an elliptic operator of second order is studied for Dirichlet boundary conditions. Finite difference approximations in space are employed. The proposed numerical algorithm is based on solving an…

Numerical Analysis · Computer Science 2015-05-18 Petr N. Vabishchevich

This paper concerns robust numerical treatment of an elliptic PDE with high contrast coefficients, for which classical finite-element discretizations yield ill-conditioned linear systems. This paper introduces a procedure by which the…

Numerical Analysis · Mathematics 2018-08-03 Yuliya Gorb , Vasiliy Kramarenko , Yuri Kuznetsov

We analyze an optimal control problem with pointwise tracking for a fractional semilinear elliptic partial differential equation. The diffusion is characterized by the spectral fractional Laplacian $(-\Delta)^s$ with $s \in (1/2,1)$, a…

Optimization and Control · Mathematics 2026-04-17 Enrique Otarola , Abner J. Salgado

Data assimilation algorithms combine information from observations and prior model information to obtain the most likely state of a dynamical system. The linearised weak-constraint four-dimensional variational assimilation problem can be…

Numerical Analysis · Mathematics 2023-12-04 Jemima M. Tabeart , John W. Pearson
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