The phrase "approximation was developed" is correct and usable in written English.
It can be used in contexts where you are discussing the creation or formulation of an approximation in a scientific, mathematical, or technical setting.
Example: "The approximation was developed to simplify complex calculations in the study of fluid dynamics."
Alternatives: "approximation was created" or "approximation was formulated."
A special procedure for approximation was developed.
Correlation approximation was developed in (Shermergor 1977; Volkov and Stavrov 1978).
A simple theoretical model using a linear coupled-oscillator approximation was developed to explain this result.
(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.
In addition, a fairly simple formula, which was called the low beta approximation, was developed and tested to be valid for low values of the thermicity group β⩽0.1.
Instead, an approximation was developed for a modern-era hurricane utilizing data from the 2005 Hurricane Wilma H*Wind Gridded Surface Wind Analysis (Powell et al. 1998), which is a data compilation based primarily on actual observations at sea, on land, from satellites, and from Hurricane Hunter aircraft.
A multi-dimensional Padé Legendre approximation is developed to circumvent challenges in dealing with sharp shocks.
To support efficient implementation, a computationally convenient hypergeometric approximation is developed for the counting distributions appropriate to our underlying stochastic model.
An algorithm of variational type by minimizing the Kullback Leibler divergence between the true posteriori distribution and a separable approximation is developed.
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.
An efficient algorithm that combines linear matrix inequalities and simultaneous perturbation stochastic approximation is developed to solve the problem and examples of its application to tensegrity structures design are presented.
