Sentence examples for solving for the model from inspiring English sources

The SPINV code solves for the model parameters in the linear space, that is, solving for the model parameters themselves and not their logarithms.

Despite the changes, we are still able to analytically solve for the model's deterministic steady state.

Even with this constraint, which reduces the number of parameters to be solved for, the model is very sensitive to initial conditions, and global data remains sparsely distributed (for example, due to the presence of oceans).

We use numerical simulations to solve for the model because the equilibrium distribution of job values F g does not have a closed-form solution, as in Burdett and Mortensen (1998) or Bontemps et al. (1999).

Given the form of the hidden Markov model defined in (1), Rabiner [16] defines three key problems of interest that must be solved for the model to be useful in real-world applications: (i) the classification problem; (ii) the problem of finding an optimal state sequence; and (iii) the problem of estimating the model parameters.

Only three additional scalar equations need to be solved for the combustion model.

In ordinary logistic regression (OLR), maximum likelihood estimation is used to solve for the best fitting model.

The resulting spectrum generator is then able to solve for the spectrum of the model, including loop-corrected pole masses, consistent with user specified boundary conditions.

In Section 5 we discuss the implementation and numerical schemes that we use to solve for the solutions of the models.

While a procedure for solving the model numerically for the case of strong applied deformation is presented in this paper, other solution methodologies need to be sought for the cases of weak and no applied deformation.

By using the DE algorithm as a solution method for solving the model, the values for the different objective functions and decision variables at different periods were generated.