The phrase "approximation developed" is correct and usable in written English.
It can be used in contexts where you are discussing a method or process that has been created to estimate or come close to a certain value or outcome.
Example: "The approximation developed in this study provides a reliable estimate of the population growth over the next decade."
Alternatives: "estimation created" or "calculation formulated".
Using the tight-binding approximation developed for such systems by Bouchard and Luban[25], the amplitude of the electron wave function can be expressed by the transfer integrals between the nearest quantum wells V1: | n 〉 = ∑ l = − ∞ ∞ J l − n 2 V 1 eFd u l ( z ), (3).
Our analysis is based on a 'quasi-deterministic' approximation developed by Bürger and Lynch (1995) for studying the mean time to extinction.
The localized approximation developed by Gouesbet et al. is based on the localization principle of van de Hulst [ 11] and was rigorously justified for on- and off-axis focused Gaussian beams and laser sheets [ 12, 13].
In addition, approximations developed prevent the appearance of various pathological (with, e.g., spurious, parasitic modes, etc).
We analyse the impact of coupling and inter-dependency between population variables on the behaviour of the approximations developed.
Note however that the circular nature of the optimal power codebook and some of the useful approximations developed in[10] for asymptotically large number of channel feedback bits are also relevant for our study and we duly acknowledge this fact.
This paper extends the approximations developed in Part II to multicomponent systems by adapting an equilibrium theory for fixed beds based on coherence of concentration waves to countercurrent processes.
To separate eventual contributions in mixed positron-Ps trapping channels, the microstructure-hierarchical model considering free-volume elements in nanocomposites at the level of interacting crystallites (non-spherical approximation) and agglomerates of crystallites (spherical approximation) is developed.
(2013), a new method based on the Laplace approximation was developed to accelerate the estimation of the post-experimental expected information gains (Kullback Leibler divergence) in model parameters and predictive quantities of interest in the Bayesian framework.
The first approximation algorithm developed for this problem on the square lattice by Hart and Istrail has an approximation ratio of 1/4 [ 3].
