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Moreover, the final rankings of the examples were compared with those of other methods.
The final rankings of the proposed model for the two examples were compared with a few approaches.
The approximate solutions obtained by the proposed method for practical examples were compared to the solutions obtained by the shooting method.
The answers, either formulations or examples, were compared to the original task definitions.
When numbers of positive and negative examples were compared, 71% of participants named more negative than positive characteristics for a corpulent person, only 5% named more positive than negative, while 24% were indeterminate.
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Results of numerical examples are compared with existing solutions.
Obtained results for calibration examples are compared to those of the FEM approach, showing reasonable agreement.
Numerical examples are compared to the available experimental data and the local-reacting normal impedance approximation.
Some conclusions and examples are compared with results produced by other authors.
These examples are compared with the inclass activities of Ausubel and Gagne's teaching theories.
Finally, numerical solutions for illustrative examples are compared with exact ones.
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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