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In the present work, we review past and recent attempts to predict the equilibrium structure of these materials, based on parametric, geometrical and physically inspired approaches.
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Based on parametric and non-parametric mixture model framework, this paper classifies spectrum occupancy modelling approaches in literature based on predictor class selection.
Therefore, a new kind of simplification approach based on geometrical parametric study is suggested in this paper.
In order to pursue this issue, an in-house developed 3D ray launching algorithm, based on geometrical optics (GO) and geometrical theory of diffraction (GTD), has been used.
In the context of parametric studies based on geometrical parameters, this method can be used to compute the morphing required for reduced order modeling.
The pattern-based method is compared with LigsiteCSC that identifies pockets on the protein surface based on a geometrical analysis [44], and which extends Ligsite method [45].
Our approach is based on a geometrical observation.
This distance is based on a geometrical interpretation of beamforming.
The parallel realization is based on the geometrical parallelism principle.
The idea behind this method is based on a geometrical interpretation of the sparsity.
In Section 4 a new technique based on computing geometrical descriptors from the TFR is introduced.
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