This article describes a new numerical solver for the Navier-Stokes equations. The proposed solver is written in Python which is a newly developed language. The Python packages are built to solve the Navier-Stokes equations with existing libraries. We have created discretized coefficient matrices from systems of the Navier-Stokes equations by the finite difference method. In addition we focus on the preconditioned Krylov subspace iterative methods in the linearized systems. Numerical results of performances for the Preconditioned iterative methods are demonstrated. The comparison between Python and Matlab is discussed at the end of the paper
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This article describes a new numerical solver for the Navier-Stokes equations. The proposed solver i...
The CFD Python learning module is a set of Jupyter notebooks, consisting of 12 "core" lessons, 3 "bo...
The past decade has seen considerable activity in algorithm development for the Navier-Stokes equati...
In recent years, considerable effort has been placed on developing efficient and robust solution alg...
This master’s thesis explains how a 2D Navier-Stokes solver can be implemented. The numerical method...
The efficient solution of discretizations of coupled systems of partial differential equations (PDEs...
We discuss iterative methods for solving the algebraic systems of equations arising from linearizati...
This thesis approaches the solution of the linearized finite element discretization of the Navier-St...
Discretization and linearization of the steady-state Navier-Stokes equations gives rise to a nonsymm...
International audienceThe Python package fluidsim is introduced in this article as an extensible fra...
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This paper describes an adaptive preconditioner for numerical continuation of incompressible Navier–...
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