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New efficient two-step method based on combination of 6-th moment minimization and straightforward numerical minimization is developed.
In order to make the AR-GP motion model robust against outliers and noises, a structured low-rank matrix approximation method using nuclear-norm regularized l1-norm minimization is developed to approximate kernel matrices.
A regularized least square based on ℓ1-norm minimization is developed to solve the models and estimate the locations of outages.
Firstly, the dynamic controller for line loss minimization is developed.
This idea, which Shanahan calls "State-Based Minimization," is developed and extended in Shanahan 1997, in the context of a temporal logic deriving from the Event Calculus of Kowalski and Sergot; see Kowalski & Sergot 1986.
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An alternative group smoothly-clipped absolute deviation regularization is also introduced, and an algorithm based on iterative weighted group Lasso minimizations is developed.
A mutual graph cut-based minimization method is developed to minimize the energy pairs.
A mutual graph cut-based minimization method is developed to minimize the energy pairs. .
In[13], a modified variational approach called global error minimization method is developed for obtaining an approximate closed-form analytical solution for nonlinear oscillator differential equations.
Here, we propose the concept of tensor total variation reconstruction, where a minimization framework is developed and incorporated into the data reconstruction process based on a tensor total variation energy functional, a functional that is inspired by nonlinear diffusion strategies [ 36– 40], and can be described as follows.
Then, a feature-aided weight coherence (FAWC) optimization, based on the algorithm of weighted coherence minimization (WCM) [22], is developed to optimize measurement-matrix without computational complexity increasing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com