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Results show that three methods can describe the statistics of the dynamic response with sufficient accuracy.
The combination of high-resolution methods can describe these changes efficiently.
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The statistical method can describe the relationship among different combinations of instability factors.
The latter volume based method can describe inhomogeneous and non-linear media and has been proven to be unconditionally stable.
The MSEPF-MMSF method can describe different spatial structures, and hence, our proposed algorithm has higher classification accuracy than the other methods.
The proposed method can describe different spatial structures and performs faster than the traditional MSF because of the reduction in the number of nodes and edges.
The proposed multiscale method can describe different spatial structures, and hence, our proposed algorithm has higher classification accuracy than the SSEPF-MMSF, except for the PaviaU image.
A two-parameter model based on a Langmuir Hinshelwood rate expression, using activity coefficients from the UNIFAC method, can describe the experimental kinetic results.
Moreover, operation conditions of trains under the local information are analyzed in detail, and the improved method can describe the behaviors of acceleration and deceleration of trains.
The correlative method can describe the correlation between neighbouring scales or levels, but has faced with closure problems within a level, which can be solved by incorporating the variational method that correlates different scales through stability conditions.
Admittance spectroscopy method can describe the series resistance-voltage (Rs-V) and impedance-voltage (Z-V), capacitance-voltage (C-V) and conductance-voltage (G-V) measurements at different frequencies at room temperature.
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