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In ongoing work we are further improving the accuracy and robustness of this new technique.
Ensuring the accuracy and robustness of public data may not exactly be a kitchen-table issue for most Americans.
This improves the accuracy and robustness of the subsequent classifiers.
Two test cases are presented to clarify and demonstrate the accuracy and robustness of the method.
The accuracy and robustness of this numerical technique have been demonstrated in several application examples.
Numerical results have proved the accuracy and robustness of the MMALE method.
The results of these tests show the accuracy and robustness of these new methods.
Various test cases show the accuracy and robustness of the scheme.
Finally, we present solutions for test problems to demonstrate the accuracy and robustness of the algorithm.
The test cases verify the accuracy and robustness of the unified moving grid gas-kinetic method.
The numerical results confirm the accuracy and robustness of the BGK-type scheme.
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