Your English writing platform
Discover LudwigExact(6)
The total norm of error is minimum when k ≈ 4.3.
We define the total norm of error as sum of norms of error for each eigenvector.
We show on some functions that the total norm of the Chebyshev series depends on the location of the interfaces.
Figure 2 (a) The total norm of error versus k in for N = 32, 40, 48, 56, and k = 4.3.
Figure 2(a) shows the total norm of error versus for different values of, and the best value for is approximately.
For them it was the total norm.
Similar(54)
First we compare total norms of errors between the Hermite-Gaussian functions and the samples of Hermite-Gaussian-like eigenvectors to determine optimum for.
Note that much better reconstructions can be obtained for the brain image by substituting the total variation norm c for the ℓ1 norm in (5) [130 30].
As key ingredients of the DG3PD model, we introduce a discrete multi-directional total variation norm and a discrete multi-directional G-norm.
The component is measured using the total variation norm, while the second component is measured using a higher-order norm.
In this subsection, our aim is to introduce a new algorithm, using both RBF interpolation and total variation norm to solve ROF model (4) and to reduce the difficulty associated with the total variation norm in ROF method (4).
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