The phrase "a process of approximation" is correct and usable in written English.
It can be used in contexts where you are discussing methods or techniques that involve estimating or getting closer to a certain value or outcome.
Example: "In scientific research, a process of approximation is often necessary to derive results from incomplete data."
Alternatives: "a method of estimation" or "a technique of approximation".
More generally, any process of approximation of elements of (K) based on (n) parameters can be formalized as the composition of two functions: the first, (mathcal{M } :Krightarrow mathbb{R }^n), represents the selection of the parameters, while the second, (mathcal{R }:mathbb{R }^nrightarrow X), represents the reconstruction.
Calculations must proceed by a process of successive approximations, during which the flux of energy is taken to be constant with depth.
To put the point differently, the initial idealizations that Newton identifies can serve as the starting point for a process of successive approximations that should yield increasingly close agreement with the complex true motions.
By applying a process of stepwise approximations, we estimated the transmission coefficient (β=0.000010009257) associated with the mean annual incidence rate of 563 pneumococcal infections per 100,000 individuals > 50 years of age (Table 1).
It is first shown that the original system with time-varying delay can be reformulated by a new IO model through a process of two-term approximation and the stability problem of the original system can be transformed into the scaled small gain (SSG) problem of the IO model.
The choice was frequency, because generated signals of a crystal oscillator have a very high stable frequency and in the process of approximation all sub-frequencies are generated from it.
The general process of approximation used is outlined in Figure 2. First, a computer model of the molecular system is prepared from nuclear magnetic resonance (NMR), crystallographic, or homology-modeling data.
This serial nature of the policy process represents yet another advantage of incrementalism, according to Lindblom: it permits policy makers to learn through a process of trial and error, converging on a solution gradually through a process of successive approximations.
Its usefulness lies in the fact that in fractal graphics, fractal objects are generated by an infinite recursive process of successive approximations.
Many multivariable (systems with many inputs/outputs) industrial processes can, to a good degree of approximation, be modelled by a transfer function matrix, where all of the interaction occurs in a matrix of constant coefficients.
