Your English writing platform
Discover LudwigExact(3)
Thus when there are steep gradients or finite discontinuities in the stochastic space, these methods converge very slowly or even fail to converge.
Time simulation on a multi-machine inter-connected power system shows that the two optimization methods converge very well and yield very close FDC parameters and the designed FDC performs well in damping the tie line power oscillation under large disturbances.
Unfortunately, these methods converge very slowly once near a minimum.
Similar(57)
Again Dogleg method converges very rapidly while alternative minimization and Cauchy point converge slowly.
Examples show that this method converges very quickly and good results are obtained.
The system is parabolic and mass-conservative.Newton's method converges very fast and its iterations do not leave theset of admissible functions.
This is because the SD method converges very slowly or stagnates (as found from extensive noise-free numerical experiments) at the final stage of its iterative minimization process.
Deterministic algorithms such as gradient descent and Newton method converge very fast, though they require derivatives of objective functions [12 14].
The Modified Adomian Decomposition Method results are found to converge very quickly and are more accurate compared to ADM and numerical methods.
This preconditioner, along with the reduced rate matrix, enabled the algorithms to converge very rapidly so as to make them an attractive alternative to standard direct methods.
When applied to large systems, they could not converge or converge very slowly.
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