Exact(43)
A standard approach to deal with the nonsmoothness introduced by the nonsmooth regularizers mentioned above is to reformulate the regularization problem as a second-order cone programming (SOCP) problem [12] and use interior point-based solvers.
Many numerical methods have been proposed in the literature to solve the regularization problem.
In this paper, a hybrid splitting method is proposed for solving a smoothing Tikhonov regularization problem.
To solve such a regularization problem efficiently, a Generalized Iteratively Reweighted Least-Squares (GIRLS) algorithm is introduced.
In spite of the uniqueness and stability results, the regularization problem for unstable cases is still difficult.
We propose an iterative fraction thresholding algorithm to solve the regularization problem ((QP_{a}^{lambda})) for all (a>0).
Similar(17)
It is proved in [25] that an interpolatory network also solves certain regularization problems.
In this paper, we propose the explicit shrinkage formulas for one class of OGS regularization problems with translation invariant overlapping groups.
One may confuse that whether PBC is always good for regularization problems such as signal processing or image processing, since natural signals or images are often asymmetric.
The general form has the advantage that we can solve the various regularization problems in a unified framework using a single algorithm.
As a companion to this work we have developed a MATLAB GUI toolbox, which can be used to solve DRT regularization problems.
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