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This section assumes that shareholders and partnerships can, but corporations cannot offset taxable losses.
This section assumes that the clutter parameters α and β are known.
This section assumes that the soft decision tree structure has been trained earlier and we just try to find the maximum log-likelihood estimate of its parameters λ, including and Σ. Training the optimum soft decision tree structure will be described in the next section.
For clear illustration, this section assumes that there are only 5th and 7th harmonic currents in the multi-bus microgrid as shown in Fig. 1, where, the 5th harmonic currents introduced by the distributed loads 1 to 3 are 0.02, 0.02 and 0.01 in per unit, and the 7th harmonic currents introduced by the distributed loads 1 to 3 are 0.01, 0.01 and 0.005 in per unit, respectively.
The analysis in this Section assumes that the computation of the EES and its predictions are valid for these averages.
The analysis of acceleration in this section assumes that the transition rates, u j (t), do not change with time.
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Throughout this section, assume that is a real linear space and is a complete RN-space.
Throughout this section, assume that is a quasinormed space with quasinorm and that is a -Banach space with -norm.
Throughout this section, assume that X is a vector space and that (Y, N) is a fuzzy Banach space.
Throughout this section, assume that is a Lie -algebra with norm and that is a -algebra with norm.
Throughout this section, assume that (X, ⊥) is an orthogonality space and that (Y, ||.|| Y ) is a real Banach space.
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CEO of Professional Science Editing for Scientists @ prosciediting.com