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Each case study was solved in the traditional, non-regularized way and with regularization assuming different level of prior knowledge (worst, medium and best case scenarios).
The embedded methods utilize regression models with regularization.
This implicit hybrid method with regularization is based on the CQ method, extragradient method and gradient projection algorithm with regularization.
The multi-step implicit iterative method with regularization is based on three well-known methods: the extragradient method, approximate proximal method and gradient projection algorithm with regularization.
Another is an implicit hybrid method with regularization which is based on the CQ method, extragradient method and gradient projection algorithm with regularization.
This implicit iterative method with regularization is based on the extragradient method, approximate proximal method and gradient projection algorithm (GPA) with regularization.
This implicit hybrid method with regularization is based on the CQ method, extragradient method and gradient projection algorithm (GPA) with regularization.
The magnetic susceptibility tensor was calculated for each voxel with regularization and decomposed into its eigensystem.
For instance, Konnov and Ali [12] studied sequential problems, especially exploiting its relation with regularization methods.
Figure 3 shows the variation of slope of S-curve with regularization parameter.
Open image in new window Fig. 1 The variation of residual norm with regularization parameter.
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