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For computation on models of the principles of real analysis, we do not have a theorem that plays the role of Tennenbaum's theorem.
Therefore, the model is implicitly contained within the discretization, and an explicit computation of model terms becomes unnecessary.
For the computation of model based FRFs, a new method based on Interpolated Modal Parameter Superposition (IMPS) is proposed.
Accordingly, the computation of model parameters in the Wyden and Widmann method was repeated by including a different number of data points in the fitting procedure in order to account for this observation.
Firstly, the LS-SVM model structure allows for the fast computation of model performance measures based on LOO-CV.
Time-step computations of models simulate time-dependent phenomena and need to interact continuously based on time-step computations during runtime.
This significant acceleration allows fast computation of large models exceeding 106 model parameters and thousands of measurement sites.
Finally, computations of model performance criterion and model performance goals show that both models can be considered acceptable for standard modelling applications.
The model selection process does not require exact computation of various models' complexity, which is often impossible, but only their relative ranking, which is usually feasible.
The complete computation of suboptimal models allows a precise characterization of the distribution of hyperedges, and, therefore, of logical gates in the potential models.
Hence, we study as well how to cope with the computation of nonlinear models with no loss of efficiency.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com