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We introduce a new preconditioner for a recently developed pressure-robust hybridized discontinuous Galerkin (HDG) finite element discretization of the Stokes equations. A feature of HDG methods is the straightforward elimination of…

Numerical Analysis · Mathematics 2023-07-07 Sander Rhebergen , Garth N. Wells

We consider symmetric positive definite preconditioners for multiple saddle-point systems of block tridiagonal form, which can be applied within the MINRES algorithm. We describe such a preconditioner for which the preconditioned matrix has…

Numerical Analysis · Mathematics 2023-02-02 John W. Pearson , Andreas Potschka

High-order implicit shock tracking (fitting) is a class of high-order numerical methods that use numerical optimization to simultaneously compute a high-order approximation to a conservation law solution and align elements of the…

Numerical Analysis · Mathematics 2024-06-28 Jakob Vandergrift , Matthew J. Zahr

We address the problem of preconditioning a sequence of saddle point linear systems arising in the solution of PDE-constrained optimal control problems via active-set Newton methods, with control and (regularized) state constraints. We…

Numerical Analysis · Mathematics 2015-05-25 Margherita Porcelli , Valeria Simoncini , Mattia Tani

We investigate various block preconditioners for a low-order Raviart-Thomas discretization of the mixed Poisson problem on adaptive quadrilateral meshes. In addition to standard diagonal and Schur complement preconditioners, we present a…

Numerical Analysis · Mathematics 2024-12-20 Carsten Burstedde , Jose A. Fonseca , Bram Metsch

We propose and analyze a general framework called nonlinear preconditioned primal-dual with projection for solving nonconvex-nonconcave and non-smooth saddle-point problems. The framework consists of two steps. The first is a nonlinear…

Optimization and Control · Mathematics 2024-01-11 Lu Zhang , Hongxia Wang , Hui Zhang

This study explores the integration of the hyper-power sequence, a method commonly employed for approximating the Moore-Penrose inverse, to enhance the effectiveness of an existing preconditioner. The approach is closely related to…

Computational Engineering, Finance, and Science · Computer Science 2023-11-14 Michał Łukasz Mika , Marco ten Eikelder , Dominik Schillinger , René Rinke Hiemstra

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

The discretization of Cahn-Hilliard equation with obstacle potential leads to a block 2 by 2 non-linear system, where the p1, 1q block has a non-linear and non-smooth term. Recently a globally convergent Newton Schur method was proposed for…

Numerical Analysis · Computer Science 2021-09-22 Pawan Kumar

For the nonsymmetric saddle point problems with nonsymmetric positive definite (1,1) parts, the modified generalized shift-splitting (MGSSP) preconditioner as well as the MGSSP iteration method are derived in this paper, which generalize…

Numerical Analysis · Mathematics 2017-01-17 Zhengge Huang , Ligong Wang , Zhong Xu , Jingjing Cui

We propose a uniform block-diagonal preconditioner for condensed $H$(div)-conforming HDG schemes for parameter-dependent saddle point problems, including the generalized Stokes equations and the linear elasticity equations. An optimal…

Numerical Analysis · Mathematics 2022-06-23 Guosheng Fu , Wenzheng Kuang

In this work, we propose a robust and easily implemented algebraic multigrid method as a stand-alone solver or a preconditioner in Krylov subspace methods for solving either symmetric and positive definite or saddle point linear systems of…

Numerical Analysis · Mathematics 2015-03-05 Huidong Yang

A finite-element discretization of such an equation yields a linear system whose conditioning worsens as the variations in the values of PDE coefficients becomes large. This paper introduces a procedure by which the discrete system obtained…

Numerical Analysis · Mathematics 2018-01-08 Yuliya Gorb , Daria Kurzanova , Yuri Kuznetsov

The solution of matrices with $2\times 2$ block structure arises in numerous areas of computational mathematics, such as PDE discretizations based on mixed-finite element methods, constrained optimization problems, or the implicit or steady…

Numerical Analysis · Mathematics 2023-07-07 Ben S. Southworth , Abdullah A. Sivas , Sander Rhebergen

We propose an augmented Lagrangian-based preconditioner to accelerate the convergence of Krylov subspace methods applied to linear systems of equations with a block three-by-three structure such as those arising from mixed finite element…

Numerical Analysis · Mathematics 2023-10-26 Fatemeh P. A. Beik , Michele Benzi

We propose two techniques aimed at improving the convergence rate of steady state and eigenvalue solvers preconditioned by the inverse Stokes operator and realized via time-stepping. First, we suggest a generalization of the Stokes operator…

Computational Physics · Physics 2018-04-13 Alexander Gelfgat

In this paper, several projection method based preconditioners for various incompressible flow models are studied. In particular, we are interested in the theoretical analysis of a pressure-correction projection method based preconditioner…

Numerical Analysis · Mathematics 2013-12-12 Mingchao Cai

For nonsymmetric block three-by-three singular saddle point problems arising from the Picard iteration method for a class of mixed finite element scheme, recently Salkuyeh et al. in (D.K. Salkuyeh, H. Aslani, Z.Z. Liang, An alternating…

Numerical Analysis · Mathematics 2022-08-02 Hamed Aslani , Davod Khojasteh Salkuyeh

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

The recently introduced divergence-conforming B-spline discretizations allow the construction of smooth discrete velocity-pressure pairs for viscous incompressible flows that are at the same time inf-sup stable and divergence-free. When…

Numerical Analysis · Mathematics 2013-09-20 Adriano M. A. Cortes , Alvaro L. G. A. Coutinho