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- Numerical methods == Numerical Aspects of CFD == This section covers the numerical soul of CFD.4 KB (399 words) - 12:42, 26 August 2012
- Introduction to CFD ...Numerical methods | numerically]]. The complex set of partial differential equations are solved on in geometrical domain divided into small volumes, commonly kn * CFD allows numerical simulation of fluid flows, results for which are available for study even a2 KB (401 words) - 06:50, 8 January 2013
- Adams methods ...merical integration]] of initial value problems in [[Ordinary Differential Equations]] (ODE's). [[Multi-step methods]] benefit from the fact that the computatio1,023 B (171 words) - 18:53, 13 August 2007
- Introduction to numerical methods Numerical methods are at the heart of the CFD process. Researchers dedicate their att ...ons. In turbulence modeling for example, one is interested in devising new equations for the extra unknowns that resulted from the averaging process.1 KB (222 words) - 21:02, 24 May 2007
- Finite volume ...lume. The next step is to integrate the differential form of the governing equations (very similar to the control volume approach) over each control volume. Int FVM is also preferred while solving partial differential equations containing discontinuous coefficients.4 KB (643 words) - 09:15, 3 January 2012
- Approximation Schemes for convective term ...racy, numerical stability and the boundness of the solution depends on the numerical scheme used for these terms. The central issue is the specification of an a == Basic Equations of CFD ==30 KB (4,389 words) - 06:47, 16 September 2005
- Approximation Schemes ...racy, numerical stability and the boundness of the solution depends on the numerical scheme used for these terms. The central issue is the specification of an a == Basic Equations of CFD ==16 KB (2,286 words) - 18:01, 14 September 2005
- Stone's method ...al differential equations. This method does not apply to generic system of equations. *{{reference-paper|author=Acosta, J.M.|year=2001|title=Numerical Algorithms for Three Dimensional Computational Fluid Dynamic Problems|rest=3 KB (380 words) - 09:42, 12 May 2007
- Combustion ...entative value while the second one is a smoother one usually used to ease numerical simulations. In the same way, two values for the heat release <math>\alpha< == Transport Equations ==156 KB (25,897 words) - 22:14, 17 March 2011
- Approximation Schemes for convective term - structured grids - Common ...curacy, numerical stability, and boundedness of the solution depend on the numerical scheme used for these terms. The central issue is the specification of an a == Basic Equations of CFD ==28 KB (4,096 words) - 13:11, 24 October 2016
- Mesh generation ...of three methods is used to solve the approximate version of the system of equations: finite volumes, finite elements, or finite differences. Care must taken t ...eshes are descendents of "numerical grid generation" algoritms, in which a differential equation is solved to determine the nodal placement of the grid.11 KB (1,840 words) - 10:16, 21 August 2006
- Tridiagonal matrix algorithm - TDMA (Thomas algorithm) ... Gaussian elimination that can be used to solve ''tridiagonal'' systems of equations. A tridiagonal system may be written as In other situations, the system of equations may be ''block tridiagonal'', with smaller submatrices arranged as the indi4 KB (658 words) - 22:58, 14 September 2016
- Sand box Approximation Schemes ... resolution scheme]]s for the numerical solution of [[partial differential equations]]. :''Linear numerical schemes for solving [[partial differential equations]] (PDE's), having the property of not generating new extrema ([[monotone sc26 KB (3,687 words) - 20:19, 7 November 2011
- Time discretisation In seeking a numerical solution for a partial differential equation, discretization has to be carried out in both space and time. Alth ...tion of the transient terms is directly associated with the stability of a numerical solution. If the flow at hand is inherently steady, it is generally advisab7 KB (1,005 words) - 02:25, 20 January 2008
- Runge Kutta methods ...lems formed by [[ODE]]s. Runge Kutta methods encompass a wide selection of numerical methods and some commonly used methods such as Explicit or Implicit [[Euler ...ous points using samples of <math>f</math> from other stages. Finally, the numerical solution <math>u_{n+1}</math> is constructed from a linear combination of <2 KB (388 words) - 01:44, 26 May 2007
- General CFD FAQ A finite difference method (FDM) discretization is based upon the differential form of the [[PDE]] to be solved. Each derivative is replaced with an appr ...tructured grids, and the effort to convert the given mesh in to structured numerical grid internally is completely avoided. As with FDM, the resulting approxim7 KB (1,199 words) - 13:47, 5 June 2013
- CHAM FAQ ... partial differential equations are converted into algebraic finite-volume equations with the aid of discretisation assumptions for the transient, convection, d For curvilinear coordinates, the default option is to solve the momentum equations in terms of the covariant projections of the velocity vector into the local37 KB (5,717 words) - 12:46, 9 December 2019
- Finite difference In mathematics, a '''finite difference''' is like a differential quotient, except that it uses finite quantities instead of infinitesimal on ...ferences'', which is similar to the differential calculus constructed from differential operators.7 KB (1,123 words) - 16:29, 13 May 2008
- Jeffery-Hamel flow problem can be reduced to the solution of an ordinary differential equation. This ODE can be readily solved using various numerical5 KB (777 words) - 21:03, 1 September 2006
- PHOENICS ... partial differential equations are converted into algebraic finite-volume equations with the aid of discretisation assumptions for the transient, convection, d For curvilinear coordinates, the default option is to solve the momentum equations in terms of the covariant projections of the velocity vector into the local11 KB (1,641 words) - 11:18, 5 July 2013