Your English writing platform
Free sign upSuggestions(1)
Exact(1)
It can be seen that the present solution is in close agreement with those solutions (errors <0.2%).
Similar(59)
To establish asymptotic stability we prove the stability estimates by using integral representations of the solutions via asymptotic solutions, error estimates, and calculus on time scales.
The effect of parameter errors and optimality tolerances in solution algorithms on solution errors are studied.
The dependence of the solution errors on the discretization errors is analyzed in certain flow cases.
It also shows that the model solution errors are similar for an optimality tolerance of within 4%.
Model errors, which include numerical solution errors and model form errors, are quantified through Gaussian process models and included in the reliability analysis.
During this time interval, the LSE may have a mismatch between measurement and model, which can create significant solution errors.
These results exhibit smaller solution errors and improved convergence when compared with similar approaches relying only on spatial interpolation.
The case study shows that the model solution errors increase as the scale of problem increases for the same range of parameter errors.
In this study, an experimental method is developed to evaluate solution errors of optimization models in which uncertain parameters are included in objective functions.
The method is designed to have small solution errors in the frequency range that can spatially be represented and to cut out high spurious frequencies.
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