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This problem is regularized by means of the Tikhonov method.
The original sparse representation problem is regularized with a properly designed weighted ℓ1 minimization and effectively solved with existing solver.
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Another problem is regularizing the clustering solution to make sure it is relevant to the phenotypes under evaluation.
This is an example of a classical ill-posed problem; it is regularized by requiring that the model be near to a given one.
In [5] problem (1 - 2) is regularized by adding a (nabla( nabla cdot mathbf {A} )) term to (1) and is then solved by the locally discontinuous Galerkin method.
The inverse problem analysed in this paper is regularized by providing an efficient stopping criterion that ceases the iterative process in order to retrieve stable numerical solutions.
Subsequently, we pose the problem for design of experiments as a bilevel program, which is regularized in order to be well-posed.
The child's forward motion is regularized as the world presents its predictable problems, and the new resources become available to solve them and advance the child's understanding.
The original cost functional is regularized using surface and bulk energy terms.
The resulting segmentation is regularized by a level set method.
Indeed, when the model is regularized, a significant performance gain is observed.
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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