Your English writing platform
Discover LudwigSuggestions(1)
Exact(58)
Furthermore, under practical considerations, global exponential convergence can be assured.
Therefore, premature convergence can be prevented in these methods.
Convergence can be deduced by the standard errors in-between the six simulation walkers (Fig. 5B).
Under some suitable conditions the global and superlinear convergence can be induced.
When the initial deviation is not large, the attitude convergence can be completed in one orbit.
If the user chooses a bad value for d, then convergence can be slow.
The numerical results show that convergence can be improved when this decoupling procedure is employed.
Efficient algorithms are developed with numerical evidence that indicates optimal rates of convergence can be achieved.
By using appropriate blocks of the matrix this convergence can be significantly accelerated, as is demonstrated by numerical experiments.
Similar to the stochastic Galerkin methods, fast convergence can be achieved when the solution in random space is smooth.
Similar(1)
MCMC convergence is hard to assess and only non-convergence can be diagnosed (Calderhead and Girolami, 2011; Cowles and Carlin, 1996).
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