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The presentation overviews the mathematical apparatus introduced, elaborates on the implemented methods and presents results.
EER is also used to compare the efficiency of the implemented methods under different conditions.
For all the implemented methods, except for Bounding Box and Convex Hull, autoscaling was adopted as data pretreatment.
All the implemented methods were validated and compared each other using existing benchmarking tests, then more complex microstructures are investigated.
Furthermore, the implemented methods are fully parallelized with parallel efficiency of 80 90% on the problems tested.
Specific details of the implemented methods allow to deal with relative shifts as small as ≈2×10−4.
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The experimental validation of the implemented method showed that the implemented method is able to assess quantitatively the linearity of the system.
Moreover, the implemented method is highly parallel and therefore suitable for High Performance Computing.
Simulation results show accuracy, robustness and good computational cost of the implemented method in the search of the solution.
The implemented method could also be useful for the analysis of other genomes.
Moreover, the implemented method could also be useful for the analysis of other genomes.
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