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Gradient minimization methods need the gradient of a functional to be minimized.
Most existing allocation methods need the control effectiveness matrix to solve the problem, and their allocation accuracy directly depends on the identification precision of the control effectiveness matrix.
Most of the conventional methods need the free surface to be smoothed or regridded at a particular/every time step of the simulation due to Lagrangian characteristics of motion even for a short time.
Note that the usual ways of constructing the fitted operator methods need the fitting factor to be incorporated in the standard finite difference scheme and then it is derived by requiring that the scheme be uniformly convergent.
Both surface mapping methods need the tip radius as an input parameter before measuring.
But such methods need the collaboration of each unit of the vehicles.
Similar(50)
These methods needed the information of a probability distribution and focused on providing estimators of local solutions.
In [3], the method needs the emotional categories of the words that were constructed using an expensive tool.
But this de-fogging method needs the user to manually adjust the local scattering coefficient and scene depth.
The solution to the energy equation by using the iteration method needs the factor of relaxation of 0.5 and, the number of iteration is about 3400.
It is a 'non-parametric' procedure because it relies only on experimental data, while the traditional method needs the values of r b, d b, and Q. 2.
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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