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This method fails when the boundary conditions are non-uniform.
However, the comparative method fails when the data are not extensive enough to establish systematic correspondences among the sound systems and grammars of languages with a reasonable frequency.
Although valid for freely settling suspensions, the CC method fails when a compression zone is formed.
It is shown that the multivariate uncertainty analysis method fails when the perturbations are relatively large and/or the output distribution is non-Gaussian, and therefore the Monte-Carlo analysis should be used in the general case.
This method fails when one of f, σ or ϕ is not globally Lipschitz.
In most of the algorithms, moving objects in the scene are used for the analysis; however, the method fails when the camera is also moving.
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However, the logistic regression method failed when the percentage of missingness was high.
Also, these methods fail when the geometry is complex.
Generally, these methods fail when studying the pore structure of heterogeneous porous media particularly in carbonate reservoirs.
However, many of these methods fail when applied to chaotic systems, such as the Kuramoto Sivashinsky (K S) equation, which models a number of different chaotic systems found in nature.
Model reference control design methods fail when the plant has one or more non-minimum phase zeros that are not included in the reference model, leading possibly to an unstable closed loop.
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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