The model matches the experimental result for the variation tendency of nonlinear coefficient in Stroisz and Fjær (2011).
However, due to the tendency of nonlinear symbolic operations to produce combinatorial explosion, future efforts will require the development of improved filtering processes to select and eliminate computations leading to negligible high order terms.
This decomposition is beneficial since it allows the effective incorporation of the resulted tendency model into nonlinear model-based control algorithms.
This work investigates a general Lotka-Volterra type predator-prey model with nonlinear cross-diffusion effects representing the tendency of a predator to get closer to prey.
To prove the tendency, simulations using linear and nonlinear dopant drift memristor models are performed in the Cadence simulation environment.
In terms of the interaction between buckling and snap-through for shallow structures affected by geometrical imperfections results have shown that, after the nonlinear bifurcation, load reductions occurs accompanied with a predictable tendency.
Note that this value differs from the mean value derived from the full distributional analysis (Table 4), because the equation for the model is nonlinear, and therefore, the mean of the means (i.e., the central tendency estimate) is not equivalent to the overall mean.
Nonetheless, in more recent years increasing emphasis has been placed on configural-type explanations of occasion setting effects, and there has been a corresponding tendency to neglect the possibility that hierarchical processes could explain performance on nonlinear tasks.
A nonlinear equation must then be solved at each time-step in order to determine the divergence tendency.
