International audienceThis work is a continuation of our efforts to develop an efficient implicit solver for multidimensional hydrodynamics for the purpose of studying important physical processes in stellar interiors, such as turbulent convection and overshooting. We present an implicit solver that results from the combination of a Jacobian-free Newton-Krylov method and a preconditioning technique tailored to the inviscid, compressible equations of stellar hydrodynamics. We assess the accuracy and performance of the solver for both 2D and 3D problems for Mach numbers down to 10-6. Although our applications concern flows in stellar interiors, the method can be applied to general advection and/or diffusion-dominated flows. The method present...
This study formulates general guidelines to extend an explicit code with a great variety of implicit...
An investigation of preconditioning techniques is presented for a Newton--Krylov algorithm that is u...
A preconditioned Krylov method is introduced for reducing the computational burden in the solution o...
International audienceThis work is a continuation of our efforts to develop an efficient implicit so...
This work is a continuation of our efforts to develop an efficient implicit solver for multidimensio...
We present the results of a numerical benchmark study for the MUltidimensional Stellar Implicit Code...
This paper describes the first steps of development of a new multidimensional time implicit code dev...
11 pages, 11 figures, accepted for publication in A&AWe present the results of a numerical benchmark...
Aims. We describe and study a family of new multigrid iterative solvers for the multidimensional, im...
. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel implicit solu...
At high Reynolds numbers, the use of explicit in time compressible flow simulations with spectral/hp...
In this paper, we compare the effectiveness of three preconditioning strategies in simulations of va...
We investigate the application of Krylov methods to compressible flows, and the effect of implicit b...
Abstract. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel impli...
Context. A realistic parametrization of convection and convective boundary mixing in conventional st...
This study formulates general guidelines to extend an explicit code with a great variety of implicit...
An investigation of preconditioning techniques is presented for a Newton--Krylov algorithm that is u...
A preconditioned Krylov method is introduced for reducing the computational burden in the solution o...
International audienceThis work is a continuation of our efforts to develop an efficient implicit so...
This work is a continuation of our efforts to develop an efficient implicit solver for multidimensio...
We present the results of a numerical benchmark study for the MUltidimensional Stellar Implicit Code...
This paper describes the first steps of development of a new multidimensional time implicit code dev...
11 pages, 11 figures, accepted for publication in A&AWe present the results of a numerical benchmark...
Aims. We describe and study a family of new multigrid iterative solvers for the multidimensional, im...
. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel implicit solu...
At high Reynolds numbers, the use of explicit in time compressible flow simulations with spectral/hp...
In this paper, we compare the effectiveness of three preconditioning strategies in simulations of va...
We investigate the application of Krylov methods to compressible flows, and the effect of implicit b...
Abstract. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel impli...
Context. A realistic parametrization of convection and convective boundary mixing in conventional st...
This study formulates general guidelines to extend an explicit code with a great variety of implicit...
An investigation of preconditioning techniques is presented for a Newton--Krylov algorithm that is u...
A preconditioned Krylov method is introduced for reducing the computational burden in the solution o...