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The asymptotic analysis has direct utility in accurate prediction of concentration profiles for high Péclet number operations where analytical approaches break down and finite-difference methods require tremendous computational time to achieve sufficient accuracy and resolution.
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In short, the 2D approach saves tremendous computation time, as the system matrices is relatively smaller.
This model reduction can account for all essential information needed to describe the microstructure and leads to tremendous savings in computational time.
Therefore, the way the coverage is computed here results in a tremendous saving in the computational time, as opposed to the eigendecomposition of the (normalized) supra-Laplacian matrix proposed in [18].
However, meso-scale modelling usually means tremendous complexity and long computational time.
However, the computational time required is tremendous and impedes the present application.
Enumerative or stochastic methods often require tremendous computational resources while, at the same time, they often fail to find realistic or optimal solutions.
Computational time.
Reduction of computational time.
e The computational time.
Iterative reconstruction algorithms pose tremendous computational challenges for 3D Electron Tomography (ET).
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