The phrase "a computational approximation of" is correct and usable in written English.
You can use it when discussing a method or model that estimates or simulates a particular phenomenon or value through computational means.
Example: "The researchers developed a computational approximation of the complex fluid dynamics involved in the experiment."
Alternatives: "a numerical estimate of" or "a computational model of".
The neural networks are therefore used as a computational approximation of the non-linear, multivariate time series generated by the ABM, or generally as computational emulators of entire ABMs (Van der Hoog, 2017).
In this work, we use a computational approximation of distance cut-off to define binding classification instead.
Results of computational approximation of the model are also shown and compared to the asymptotics.
The models cover several levels of computational approximation and include in increasing order of computational demand: a mass-consistent empirical-diagnostic code, a Reynolds-averaged Navier Stokes (RANS) computational fluid dynamics (CFD) model, and a Large Eddy Simulation (LES) CFD code.
The general principle behind approximation error modelling is to examine the difference between an 'exact' model A x) and its computational approximation A h(x h).
Here, to approximate the first component of (A1) a simplified Laplace approximation (less expensive from a computational point of view with only a slight loss of accuracy) was used [ 62- 64].
In the present work we make efforts in this direction and propose a new efficient scheme, which enjoys cheap computational costs in a strong approximation of stiff SDEs.
These subtime level solutions are coupled to each other in the computational field by a spectral approximation of the time derivative term in the Navier-Stokes equation, and also by application of far-field and periodic boundary conditions.
To test the applicability of the developed strategy on "real-life materials" and to obtain a rough approximation of the computational time, we included one derivative of substance class BRA- nT, namely, BHA-1T (4; R=H, n=1), in our performance study to serve as a representative example.
The finite-difference time-domain (FDTD) [1] method for electromagnetic simulation is today one of the most efficient computational approximations to the Maxwell equations.
