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Several results show the validity of our algorithm.
Two examples are presented to demonstrate the validity of our algorithm with model selection.
We find that the bias introduced by the spatial correlations attendant to the sublattice decomposition is within the standard deviation of serial calculations, which confirms the statistical validity of our algorithm.
One experiment with a small object and a big complex object was designed to test the algorithm for separate objects, and experimental results showed the validity of our algorithm for absolute phase measurement.
To prove the validity of our algorithm, these parameters are fixed for all the sequences.
In this section, three examples are given to implement the above theories and approaches; and furthermore, to verify the validity of our algorithm.
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Finally, we conduct a computational study to demonstrate the validity and efficiency of our algorithm.
Validity of our proposed algorithm is demonstrated by the comparison with state-of-the-art feature matching algorithms using real planetary images.
To evaluate the suitability and validity of our proposed algorithm in identifying the overlapping protein complex in protein-protein interaction networks, we have used C++ language to implement algorithm CP-DR and download the overlapping protein complexes identification tool CFinder from http://angel.elte.hu/clustering/.
The validity of our optimization algorithm was tested for two well-known light spectra: CIE standard daylight illuminant D65 and HMI HID lamp.
This proves the validity of our unwrapping algorithm.
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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