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The model is based on generalization of the classical one-dimensional flamelet representation to multi-dimensional flow conditions.
The element formulation is based on generalization of the discrete Kirchhoff theory (DKT) element formulation.
The proposed approach to the problem solution is based on generalization of Tellegen's theorem well known from electrical engineering.
The HBF is based on generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector.
Two approaches are implemented, based on generalization of earlier methodology developed for axial propagation, and on extension of the model reduction formalism introduced in Part I.
This assumption is mainly based on generalization of the results obtained with the most intensely studied model bacterium, Escherichia coli (a gamma-proteobacterium), which is monoploid during very slow growth.
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Another set of approaches is based on generalizations of quantum theory beyond quantum physics proper.
Finally, the pressure drop models used in severe accident simulation codes, based on generalizations of the single-phase Ergun law, have been assessed against the new data.
We finally present algorithms for both approaches, which are based on generalizations of recent techniques for probabilistic logic programming under logical entailment.
The proposed mixed formulations are based on generalizations of the well-known Ciarlet Raviart mixed method, where the new main variables are related to second-order (or fourth order, for the buckling problem) derivatives of the displacement field.
Based on generalizations of Fisher's fundamental theorem of natural selection [ 8] and Wright's adaptive landscape [ 9], this dynamical law of Darwin and Wallace had recently been formulated by the author into a concise set of mathematical equations [ 10].
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