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An analysis of the complexity of the algorithm is performed.
A numerical investigation into the characteristics of the algorithm is performed and presented.
Evaluation of the algorithm is performed via simulation and experiments on an active-suspension benchmark.
Convergence analysis of the algorithm is performed and supported by rigorous proofs.
Critical validation of the algorithm is performed, experiments are conducted for 1-degree of freedom (DOF) cancellation of tremor.
The run-length encoding, together with other parts of the algorithm, is performed in parallel; sequential operations are minimized as the number of run-lengths are typically less than the number of pixels.
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In spite of this difference, there is no reason why the user should over-ride the algorithm more frequently or make larger dose changes in complex unstable patients if the algorithm is performing as expected.
A hardware pipelined PSO (PPSO) Core is applied with which the required computational operations of the algorithm are performed.
The analysis and assessment of the algorithm are performed via the well-known behavior and properties of the modeling physical system.
If multiple portions of the algorithm are performed on the FPGA without returning to the CPU, the additional speedup can be considerable.
Internal validation of the algorithm was performed by the bootstrap resampling technique [ 26].
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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