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In those years, Malcev was interested in the theory of algorithms of mathematical logic and algorithmic problems of model theory.
The article discusses problems of model based test construction and ways of their solution using different kinds of models (operational, contract, axiomatic, and history-based specifications).
Overall, in literature, we see that the problems of model development, external data acquisition, and time value of prediction have been separately addressed, but no singular work ties these concepts together.
This idea can be applied to all sorts of inductive inference problems, but it turns out to be most fruitful in problems of model selection and, more generally, dealing with overfitting [28].
We demonstrate the utility of the proposed methods in the problems of model discrimination, and location of worst case parameter perturbation for a single parameterised family of ODE models.
However, the problem of unknown parameters comes from the "censoring," which leads to the correlation between the optimization objective function and the unknown model parameters; this is unique to the optimal ALT plan design, and increases the difficulty in processing the problems of model deviations and limited sample size.
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ANN is a good way to handle the problems of modeling, prediction, and control.
The problems of modeling of modernization and reengineering processes for manufacturing systems and complexes are considered.
There has been a great deal of interest in the problems of modelling cables and ropes.
Therefore problems of models design, verification and validation have a prime value for creation of such systems.
The mathematical physical background is also briefly illustrated, together with all the practical problems of modeling and implementation.
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