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Evaluating the energy of a protein molecule is one of the most computationally costly operations in many protein structure modeling applications.
In forward simulations, the most computationally costly parameters are N and L, so we seek to reduce these parameters as much as possible.
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Less computationally costly, and perhaps the most commonly used approach to modeling biochemical pathways and networks, are differential equations which capture the underlying reaction kinetics in terms of rates and concentrations [7].
Assuming that multiplications and square root are the most computationally intensive/costly and assuming that in the worst case, 1 pixel is present for each level p and for each direction of generation D i, this yields a complexity of 4 P Q, that is, an order of magnitude of O(P Q).
King also makes the point that the Duplex system is (at least for now) computationally costly.
However, computing the Pareto frontier is a computationally costly process.
DTCTH also achieves better accuracies than computationally costly Gabor features [52] (89.40%) on this dataset.
The windowing approach is the least computationally costly technique to process a continuous recording.
The generalized Gaussian model is not examined, as its approximation is computationally costly and hence impractical.
The Normal Equation scheme has outperformed the Open-loop scheme but is computationally costly.
However, they are computationally costly compared to simple central difference methods.
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