Your English writing platform
Discover LudwigExact(27)
Range measurements provided by acoustic modems allow to avoid an unbounded error growth in the position estimate of each AUV.
However, long-distance navigation requires both a high level of robustness and a low rate of error growth.
Non-asymptotic bounds on the bias and variance are obtained, which provide insight into the mechanism of error growth.
The differences are illuminating: the continuous-adjoint is shown to suffer from exponential error growth in (reverse) time even for the best-resolved largest turbulence scales.
The NN is used to bridge the GPS signal and prevent the error growth due to signal outage from contaminating the entire tracking loop.
We have tested these techniques using both extensive simulation and hundreds of real rover images and have achieved a low, linear rate of error growth.
Similar(33)
From the figure we can not find any visible difference among the trends of these sequences, indicating that the forecast error growths at different analysis time are very similar.
The posterior ensemble shares linear-error-growth properties with ensembles of multiple model integrations when comparably perturbed.
Below we briefly define the rationale behind the probability models used for each of the components of our model, including observation models (e.g. observation error in growth), process models (e.g. growth), and the priors for parameters.
The error on growth temperature was estimated to be ±5°.
Considering the relative error and growth efficiency, the number of clusters is chosen between 2% and 5% of the number of total research days, thus the number of clusters is 48 per annum.
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