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The computational efficiency of this model allows researchers to run large ensembles of simulations for robust uncertainty quantification within a short time frame.
We calculate the efficiency of this model by considering a series of intermediate measures and constraints.
Simulation results for tetragonal, rhombohedral and morphotropic PZT ceramics are employed to validate the superiority and efficiency of this model.
The high efficiency of this model makes it useful to investigate the overall quantitative behavior of related physical-chemical phenomena.
Finally, the efficiency of this model as an autonomous robot action selection mechanism is assessed in a standard survival task.
Besides its accuracy, the numerical efficiency of this model is usually one to two orders of magnitude larger than that of conventional finite element model of the building.
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The error types used to test the efficiency of the model confirm that this model gives a best estimation for the GWR in semi-arid area, in our case study of Djelfa (Algeria) where we have tested the model, it gives a very acceptable result.
A few examples available in literature are used to demonstrate the consistence and efficiency of this new model, especially for the structures, in which the effects of transverse shear deformations are significant.
In terms of the efficiency of this organizational model, several randomized studies compared the DS procedure with traditional hospitalization years ago [ 8, 9], and a more recent randomized trial also considered the value of IH patients' preferences for one or other procedure [ 10].
The robustness and computational efficiency of the model is illustrated.
Numerical experiments showed the applicability and efficiency of the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com