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Therefore, the choice of a learning technique for performing specific CR task is considered a challenge as well as the accuracy and efficiency of the techniques.
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The comparison proves the efficiency of the technique in removing the numerical singularity.
A series of examples demonstrate both the robustness and the efficiency of the technique.
At the end some illustrative test examples are included to demonstrate the efficiency of the technique.
A detailed flit accurate simulator was developed in SystemC to evaluate the efficiency of the technique.
The relatively low efficiency of the technique means it would take many generations for the gene drive to spread through an entire rodent population, leaving ample time for species to evolve resistance.
Some concerns regarding the efficiency of the technique still exist, especially the durability and the long-term behaviour.
The problems of drop oscillation and drop collision are utilized to show the accuracy and efficiency of the technique.
A sensitivity analysis was performed to evaluate the effects of some parameters in the efficiency of the technique.
The present work also introduces a criterion for updating the nonlinear system matrices, significantly reducing the computational complexity of the simulation and enhancing the efficiency of the technique.
Finally, we apply the morphing method to these anisotropic non-local models and present three-dimensional numerical examples to validate the efficiency of the technique.
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