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We derive parameter-robust quasi-optimal error estimates for mixed finite element methods for the nonlinear Darcy--Forchheimer equations with mixed boundary conditions. Using the framework of operator preconditioning, we also design…

Numerical Analysis · Mathematics 2026-02-25 Rishi Das , Harsha Hutridurga , Amiya K. Pani , Ricardo Ruiz-Baier

We are studying the efficient solution of the system of linear equation stemming from the mass conserving mixed stress (MCS) method discretization of the Stokes equations. To that end we perform static condensation to arrive at a system for…

Numerical Analysis · Mathematics 2022-07-19 Lukas Kogler , Philip L. Lederer , Joachim Schöberl

In this paper, we design robust and efficient block preconditioners for the two-field formulation of Biot's consolidation model, where stabilized finite-element discretizations are used. The proposed block preconditioners are based on the…

Numerical Analysis · Mathematics 2017-05-25 James H. Adler , Francisco J. Gaspar , Xiaozhe Hu , Carmen Rodrigo , Ludmil T. Zikatanov

Discretization of flow in fractured porous media commonly lead to large systems of linear equations that require dedicated solvers. In this work, we develop an efficient linear solver and its practical implementation for mixed-dimensional…

Numerical Analysis · Mathematics 2023-02-08 Xiaozhe Hu , Eirik Keilegavlen , Jan M. Nordbotten

We construct mesh-independent and parameter-robust monolithic solvers for the coupled primal Stokes-Darcy problem. Three different formulations and their discretizations in terms of conforming and non-conforming finite element methods and…

Numerical Analysis · Mathematics 2021-10-15 Wietse M. Boon , Timo Koch , Miroslav Kuchta , Kent-Andre Mardal

In this paper, we present block preconditioners for a stabilized discretization of the poroelastic equations developed in [45]. The discretization is proved to be well-posed with respect to the physical and discretization parameters, and…

Numerical Analysis · Mathematics 2020-01-07 James H. Adler , Francisco J. Gaspar , Xiaozhe Hu , Peter Ohm , Carmen Rodrigo , Ludmil T. Zikatanov

Maxwell's equations are a system of partial differential equations that govern the laws of electromagnetic induction. We study a mimetic finite-difference (MFD) discretization of the equations which preserves important underlying physical…

Numerical Analysis · Mathematics 2021-05-28 James H. Adler , Casey Cavanaugh , Xiaozhe Hu , Ludmil T. Zikatanov

In this paper we develop and analyse domain decomposition methods for linear systems of equations arising from conforming finite element discretisations of positive Maxwell-type equations. Convergence of domain decomposition methods rely…

Numerical Analysis · Mathematics 2021-07-08 Niall Bootland , Victorita Dolean , Frédéric Nataf , Pierre-Henri Tournier

We consider the numerical solution of large scale time-harmonic Maxwell equations. To this day, this problem remains difficult, in particular because the equations are neither Hermitian nor semi-definite. Our approach is to compare…

Numerical Analysis · Mathematics 2025-07-18 Elise Fressart , Sébastien Dubois , Loïc Gouarin , Marc Massot , Michel Nowak , Nicole Spillane

In this paper, we develop two classes of robust preconditioners for the structure-preserving discretization of the incompressible magnetohydrodynamics (MHD) system. By studying the well-posedness of the discrete system, we design block…

Numerical Analysis · Mathematics 2016-06-22 Yicong Ma , Kaibo Hu , Xiaozhe Hu , Jinchao Xu

We develop a structure-preserving solution framework for the optimal control of the time-dependent Maxwell's equations. Building on a well-posedness theory for a weak form of the forward problem, we first analyze a forward solver that…

Optimization and Control · Mathematics 2026-05-04 Harbir Antil , Yaw Owusu-Agyemang , Rohit Khandelwal , Jimmie Adriazola , Denis Ridzal

We consider the problem of iteratively solving large and sparse double saddle-point systems arising from the stationary Stokes-Darcy equations in two dimensions, discretized by the Marker-and-Cell (MAC) finite difference method. We analyze…

Numerical Analysis · Mathematics 2023-02-28 Chen Greif , Yunhui He

This work is on the numerical approximation of incoming solutions to Maxwell's equations with dissipative boundary conditions whose energy decays exponentially with time. Such solutions are called asymptotically disappearing (ADS) and they…

Numerical Analysis · Mathematics 2013-07-23 James H. Adler , Vesselin Petkov , Ludmil T. Zikatanov

In this paper, we propose a robust solver for the finite element discrete problem of the stationary incompressible magnetohydrodynamic (MHD) equations in three dimensions. By the mixed finite element method, both the velocity and the…

Numerical Analysis · Mathematics 2017-10-23 Lingxiao Li , Weiying Zheng

In this work, we consider fracture propagation in nearly incompressible and (fully) incompressible materials using a phase-field formulation. We use a mixed form of the elasticity equation to overcome volume locking effects and develop a…

Numerical Analysis · Mathematics 2022-02-10 Timo Heister , Katrin Mang , Thomas Wick

Motivated by the need for efficient and accurate simulation of the dynamics of the polar ice sheets, we design high-order finite element discretizations and scalable solvers for the solution of nonlinear incompressible Stokes equations. We…

Numerical Analysis · Computer Science 2015-11-05 Tobin Isaac , Georg Stadler , Omar Ghattas

We consider linear systems arising from the use of the finite element method for solving scalar linear elliptic problems. Our main result is that these linear systems, which are symmetric and positive semidefinite, are well approximated by…

Numerical Analysis · Mathematics 2025-10-20 Erik Boman , Bruce Hendrickson , Stephen Vavasis

We develop robust solvers for a class of perturbed saddle-point problems arising in the study of a second-order elliptic equation in mixed form (in terms of flux and potential), and of the four-field formulation of Biot's consolidation…

Numerical Analysis · Mathematics 2020-11-11 Wietse M. Boon , Miroslav Kuchta , Kent-Andre Mardal , Ricardo Ruiz-Baier

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

Efficient and robust iterative solvers for strong anisotropic elliptic equations are very challenging. In this paper a block preconditioning method is introduced to solve the linear algebraic systems of a class of micro-macro…

Numerical Analysis · Mathematics 2021-11-17 Lingxiao Li , Chang Yang
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