2007
DOI: 10.1016/j.jcp.2007.07.021
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Globalization strategies for Newton–Krylov methods for stabilized FEM discretization of Navier–Stokes equations

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Cited by 11 publications
(4 citation statements)
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“…This approach allows the use of implicit schemes for nonlinear equations at a reasonable cost by linearizing the discretization of the nonlinear convective term. Hence, to get W * := W n + δW * we employ an inexact Newton algorithm combined with a Krylov subspace method for the solution of linear systems, see also [8][9][10] and references therein. The objective is thus to find the root of the vector function…”
Section: Implicit Transport-diffusion Stagementioning
confidence: 99%
“…This approach allows the use of implicit schemes for nonlinear equations at a reasonable cost by linearizing the discretization of the nonlinear convective term. Hence, to get W * := W n + δW * we employ an inexact Newton algorithm combined with a Krylov subspace method for the solution of linear systems, see also [8][9][10] and references therein. The objective is thus to find the root of the vector function…”
Section: Implicit Transport-diffusion Stagementioning
confidence: 99%
“…By contrast, a damped Newton procedure using a line search that satisfies the Armijo-Wolfe criteria is guaranteed to converge on nondegenerate, if unrealistic, input data. The line search method that we used here is one way to achieve global convergence of Newton's method, but there are other approaches to achieve global convergence -for example, homotopy continuation (Tezaur et al, 2015) or the trust region method (Bellavia and Berrone, 2007).…”
Section: Convex Optimizationmentioning
confidence: 99%
“…The nonlinear system (11)-(12) can be solved rather easily with an inexact Newton-Krylov method [3,4], based on the GMRES algorithm of Saad and Schultz [33]. To improve convergence of the GMRES method, a simple block-diagonal scaling is used as preconditioner throughout this paper.…”
Section: Space-time Ldg Schemementioning
confidence: 99%