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This means that the l1 sparsity regularization recovers the difference in μ a between the two targets better than Tikhonov regularization.
Numerical experiments show that the l p sparsity regularization improves the spatial resolution and recovers the difference in the absorption coefficients between two targets, although a target with a small absorption coefficient may disappear due to the strong effect of the l p sparsity regularization when the value of p is too small.
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When I went back to the health centre, the receptionist told me that to recover the difference I had to get a letter from my pension office at home confirming that I am a pensioner in the UK.
The writer could be entitled to recover the difference between the rent she is paying under the lease and the market-value rent for a similar apartment for the year, and may be able to recover "consequential" damages that could include moving expenses and any broker fee for finding a new apartment.
The l p sparsity regularization is effective to enhance the localization, to reduce the artifacts and to recover the difference in μ a between the large and small changes, although small changes in μ a may be eliminated by the l p sparsity regularization when p is too small because it strongly localizes the changes in μ a.
The spectrum of reduced FAD was recovered from the difference spectrum by adding to it the conventionally determined solution spectrum of the stable oxidized form of the redox couple.
This is likely to be because the majority of infected hosts recover, and the difference in male and female densities between cohorts is therefore marginal.
The wdw gV introgression recovers 36% of the difference in forewing width and 28% of the difference in length between the species.
In particular, we used five values of 'c', two that correspond to its lower and upper bounds and the others that identify three schemes that are linked to common high-order methods, namely the ESFR recovering two versions of discontinuous Galerkin methods and one recovering the spectral difference scheme.
In our simulation experiment we are not necessarily interested in the predictions or fitted values, rather we are interested in the ability of our model to recover the average difference in proportions/percentages/rates across a two-sample design.
Three-dimensional position of each model was recovered by minimizing the difference between the projected outline and the contour.
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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