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Otherwise, the modified algorithm is updated from multidimensional data analysis to color images clustering.
The modified algorithm is applied to a polymer injection optimization problem.
The modified algorithm is mostly useful for statistical physics applications, since it leads to the correct fluctuation spectrum.
The novelty of the proposed modified algorithm is that it does not need the perfect knowledge of camera parameters.
The modified algorithm is just as fast as the Siegman-Talman algorithm, but it cures the problem of rounding errors.
Numerical simulations of academic and practical engineering problems show that the modified algorithm is much more efficient than the FMG FAS (Full Approximation Storage) method.
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The modified algorithm was implemented in MatLab, using Kriging-type surrogate model.
As they explained in September in the journal PLoS Computational Biology, the modified algorithm was more efficient than existing ecosystem-extinction models at identifying which species' extinction would cause the greatest number of other species in the food web also to go extinct.
The modified algorithm was presented without proof in Mintseris and Eisen (2006).
A detailed analysis of the original NCA algorithm and the modified algorithm are provided in the respective publications [ 26, 30].
Our modified algorithm was intended to produce a cohort that was representative of type 2 diabetes as far as possible.
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