Your English writing platform
Discover LudwigSuggestions(5)
Exact(57)
It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems.
Although suboptimal, they may perform close to the optimal solution, with the advantage of a much lower optimization burden.
and show its optimal solution with (rj*,Qj*,nj*).
This method seeks to find the optimal solution with time complexity O(n 3).
This means that there exists an optimal solution with U = I.
Selecting a sufficiently large μ, we can reach the optimal solution with an arbitrarily small error.
One of the dynamic VAR Pareto optimal solution with SVC is shown in Table 3.
Similar result is obtained in [5], which further considers the optimal solution with causal information.
Similar(3)
In the fourth iteration, the optimizer found a sub-optimal solution with 21 ARS and hence is terminated.
This method can reach a near-optimal solution with affordable computational complexity, compared to other optimization methods.
We then propose a more efficient sub-optimal solution with much lower complexity.
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