Response surface approximation was used to approximate the objective function to reduce computing time.
Then Einstein's general relativity showed that Newton's law, while a good approximation, was wrong.
A special procedure for approximation was developed.
This approximation was validated via a finite element simulation.
The best approximation was searching in the site-wide search engine which would pull up app profile pages in App Center as results.
Since data were heterogeneous, Satterwaite's statistical approximation was applied (α=0.05).
The degree of approximation was employed as the selective criterion of the optimum network parameters.
The "global approximation" was challenged by comparison with regional and local acceleration data.
A Boussinesq approximation was utilized to model the buoyancy-driven flow.
Bruggeman effective medium approximation was used to describe the optical functions of intermediate layers.
The degree of approximation was employed as selective criterion of the optimum network parameters.
