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Numerical solutions implicit finite-difference algorithm

Methods applying reverse differences in time are called implicit. Generally these implicit methods, as e.g. the Crank-Nicholson method, show high numerical stability. On the other side, there are explicit methods, and the methods of iterative solution algorithms. Besides the strong attenuation (numeric dispersion) there is another problem with the finite differences method, and that is the oscillation. [Pg.64]

The numerical solution to the advection-dispersion equation and associated adsorption equations can be performed using finite difference schemes, either in their implicit and/or explicit form. In the one-dimensional MRTM model (Selim et al., 1990), the Crank-Nicholson algorithm was applied to solve the governing equations of the chemical transport and retention in soils. The web-based simulation system for the one-dimensional MRTM model is detailed in Zeng et al. (2002). The alternating direction-implicit (ADI) method is used here to solve the three-dimensional models. [Pg.67]


See other pages where Numerical solutions implicit finite-difference algorithm is mentioned: [Pg.28]    [Pg.235]    [Pg.1957]    [Pg.213]    [Pg.64]    [Pg.68]    [Pg.906]    [Pg.281]    [Pg.1171]   
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Finite-difference algorithm

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