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This domain reduction method allows for the simulation of deformable boundaries in periodic atomic lattice structures, reduces the effective size of the computational domain, and consequently decreases the cost of computations.
The cost of computations in module II is justified by its performance over module I. Efforts have been made to reduce the computation burden by operating over the decimated samples.
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The computational error (implying quality of solution) and computational complexity (cost of computation) due to the presence of numerical zero became integral parts of any algorithm to justify the acceptability of a solution.
Mr Moore's message has always been simpler: that the cost of computation, and all electronics, appeared certain to plummet, and still does today, thus allowing all sorts of other progress.
But the cost of computation of nonlinear weights and local characteristic decompositions is very high.
Furthermore, the cost of computation and the complexity of the obtained criteria do not increase.
The overall cost of computation is less than four times that of the forward simulation run.
This allows us to eliminate majority of the dataset for further bot identification, significantly reducing the cost of computation.
With lower cost of computation, a larger descent magnitude of objective function is obtained at every iteration.
To reduce the cost of computation, (20) and (25) in Section 3 may utilize the Fibonacci search.
This extension called as Absolute Angle-Distance histoutperformedoutherformeD2the D2 shape function but at the cost of computation time.
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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