Sentence examples for iterative predictor from inspiring English sources

When calculating the wake, the fields, particle positions and momenta are not naturally time centered so an iterative predictor corrector loop is required.

The research was carried out by FEM simulation with comparison and chosen of damage models, where the critical damage values were obtained through an iterative "predictor-corrector approach".

It is shown that a suitable minimum principles provides a rational basis to exploit the iterative elastic predictor-plastic corrector algorithm in terms of the dissipation functional.

Finite element solutions coupled with an iterative elastic-predictor inelastic-corrector procedure are developed to analyze the RVE and macro composite cylinder.

A sufficient condition is proved for the convergence of the iterative elastic predictor-plastic corrector algorithm based on a suitable choice of the elastic operator in the prediction phase and a necessary and sufficient condition for the existence of a unique solution (if any) of the nonlocal problem at hand is then provided.

The velocity controller is designed by combining the dynamic surface control (DSC) design and a novel predictor based iterative neural network (PINN) control method.

Since the thermophysical properties of the tissue are highly temperature dependent, a predictor-corrector iterative approach is adopted.

By utilizing the auxiliary principle technique, some new predictor-corrector iterative algorithms for solving them are suggested and analyzed.

Using NPMR, species distribution responses were predicted as a function of multiplicative interactions among climate predictors, using an iterative algorithm that maximizes fit by analyzing target points in a local neighborhood in predictor space via distance-weighted smoothing functions.

Some other are iterative methods for example, Ordered Predictor Selection-Partial Least Squares (OPS-PLS), Sequential Forward/Backward Selection, randomized methods that combine PLS with Genetic Algorithms (GA) or Monte-Carlo algorithms [45, 63 66].

The dichotomization was performed by means of an iterative process aiming to identify the predictor's threshold minimizing the p-value of the Fisher's test.