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We demonstrate the effectiveness of our method by extensive numerical experiments.
The utility and effectiveness of the present approach are validated by extensive numerical experiments.
We demonstrate the efficiency and accuracy of the new approach on randomly generated instances by extensive numerical experiments.
We show that the improved MIB method is robust for handling general irregular interfaces by extensive numerical experiments on the Poisson equation and the Helmholtz equation.
The efficiency and robustness of the proposed method is demonstrated by extensive numerical experiments for electromagnetic cloaking problems with highly anisotropic permittivity and permeability.
By extensive numerical experiments, we demonstrate the robustness of the Newton Krylov solver for relatively large physical parameters and the optimality with respect to the number of degrees of freedom.
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We show positivity by extensive numerical experimentation.
We validate the newly developed solution method through extensive numerical experiments, particularly for those phenomena that can not be achieved by two-dimensional simulations.
We perform extensive numerical experiments to validate and demonstrate the capabilities of the proposed numerical technique.
Extensive numerical experiments based on realistic date of Asia Europe Oceania shipping operations show that the proposed model can solve real-case problems efficiently by CPLEX.
Extensive numerical experiments based on realistic Asia Europe Oceania shipping operations show that the proposed model can be efficiently solved by CPLEX for real-case problems.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com