The phrase "approach an iterative" is not correct as it is incomplete and lacks context.
It could be used in a context discussing methodologies or processes that involve iterative steps or cycles.
Example: "In our project, we will approach an iterative development process to refine our product continuously."
Alternatives: "adopt an iterative" or "utilize an iterative".
Then, thanks to this approach, an iterative diagnostic method is proposed.
In the second approach an iterative finite difference approximation scheme is developed.
By minimizing (19) with respect to x and η and using a heuristic approach, an iterative solution is obtained for the 1D SLIM in two steps [22]: 1. Iterative estimation of sparse vector x, {boldsymbol{x}}^{left(t+1right)}={boldsymbol{Pi}}^{(t)}{boldsymbol{Phi}}^H{left(boldsymbol{Phi} {boldsymbol{Pi}}^{(t)}{boldsymbol{Phi}}^H+{eta}^{(t)}boldsymbol{I}right)}^{-1}boldsymbol{y} (20).
Compared to other similar approaches an iterative procedure for the imposition of the most appropriate thermal boundary conditions is proposed.
This is particularly important since our approach employs an iterative algorithm to approximate the optimal regression weights, and therefore efficient computation is essential to our approach.
The SoftCoDeR approach has an iterative and cyclical nature.
The approach includes an iterative spectral approximation algorithm (ISAA) and derivative-based non-linear optimization algorithms.
The structural model is based on the combination of an FE approach and an iterative optimization procedure.
The approach is an iterative process to construct execution views without being overwhelmed by the system size and complexity.
This unfortunately does not permit using this approach in an iterative dimensionning process during a planning stage.
This approach uses an iterative simulation scheme, so that the model need not be resolved analytically (see [30] for an introduction to MCMC techniques in ecology).
