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We provide numerical examples and compare our results with the ones available in the literature.
We propose two dimensional numerical examples and compare the results to those obtained with a quadtree data structure.
We illustrate the use of the REMM-τ method through a number of biologically motivated examples and compare its performance to those of the implicit-τ and trapezoidal implicit-τ algorithms.
We test the performance of our new filters on three simulated numerical examples and compare the results with unperturbed Kalman filter that ignores the uncertainty in the transition equation.
Finally, we exhibit some numerical examples and compare them with previous results in the literature.
We discuss some examples and compare our theorems with the previous results.
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I can only think of two or three examples, and compared to some women's experiences it is nothing.
Our model is then applied to three representative examples and compared to experimental data.
The technique has been successfully tested on illustrative examples and compared to the standard Newark method.
The method is illustrated with examples and compared to previous methods.
The proposed RBDO method is applied to numerical examples and compared to various RBDO methods.
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