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This section presents the proposed model ("Model formulation" section) and discussed the solution methods used in solving the proposed model ("Solution methods" section).
Emphasis is on the solution methods of the fuzzy numerical model of solute transport, which is a function of fuzzy variables.
The solution methods are tested on artificial instances.
We address the solution methods for the small scale movements.
The paper discusses the formulation, the solution methods and some relevant instability situations.
Our discussion considers computational efficiency, scalability, and some implementation issues of the solution methods.
Similar(10)
Solution method (uniformization vs. Krylov subspace method): In Algorithm sWindow, we vary the solution method by exchanging uniformization with the Krylov subspace method.
Liquid-phase epitaxy (LPE) uses the solution method to grow crystals on a substrate.
(2) The solution method is given.
Complexity of the solution method is analyzed.
Therefore, the effects of the solution method is significant.
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