Your English writing platform
Discover LudwigExact(9)
Moreover, the iterative number is insensitive to the size of problems in our algorithm.
Moreover, the calculation time of the proposed method (Method 4) shows no noticeable increase by increasing the size of problems.
Moreover, it was observed that increasing the size of problems did not cause a considerable increase in calculation time.
The specifications of these examples including sheet dimensions and the number and type of pieces which indicated the size of problems are given in Table1.
Data processing time depends upon the size of problems, while hardly one minute is required for small problems with less then 500 observations.
The benefit of a quantum device is that the size of problems that can be tackled in a reasonable time grows significantly more quickly with the size of the simulating device than it does for a classical device, thus it is envisaged that quantum devices will one day be able to solve larger problems than their classical counterparts.
Similar(50)
It is increased proportional to the size of problem.
On this basis, the size of problem and the compute time are reduced.
However, from a practical perspective, it is infeasible to follow such a strategy because the number of combinations grows exponentially with the size of problem.
Regarding increase in the size of problem, exponential growth in complexity makes the model become NP-hard (Park et al. 2007; Jolai et al. 2011).
Bridging errors in the computation could limit the size of problem that can be solved experimentally using algorithms that involve bridging synthesis.
Write better and faster with AI suggestions while staying true to your unique style.
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