The phrase "approximation to improve" is correct and usable in written English.
It can be used in contexts where you are discussing methods or strategies aimed at enhancing accuracy or performance through estimation or approximation.
Example: "We are using an approximation to improve the efficiency of our calculations in the new software."
Alternatives: "estimate for enhancement" or "approximation for betterment".
Unlike other harmonic balance methods, all the former global residual errors are introduced in the present approximation to improve the accuracy.
And then we use the Padé approximation to improve some remarkable inequalities involving inverse trigonometric functions, we show that the new inequalities presented in this paper are more refined than that obtained in earlier papers.
To assess the impact of clustering and to deal with multilevel data, we performed the multi-level mixed effects logistic model (xtmelogit) using Stata/SE 11.2 for Windows (2009 StataCorp LP) with Adaptive Gauss-Hermite quadrature approximation (to improve the accuracy of estimation).
In this work, we devise a high-order approximation algorithm to improve the tracking performance.
It is applied to recognize the unknown reality of the real world rather than application of an approximation approach to improve the known reality through external information processing.
Correlation to numerical Padé approximation enabled us to improve computations for both problems (GCDs and Padé).
The main objectives are (1) to preserve the ease of implementation of the local approximation and (2) to improve significantly the quality of the results, such that the method can be used in problems with very large changes in the design variables, including geometrical changes and elimination of members.
As the first data transformation step for a given double-mutant fitness matrix W (Figure 5), we investigated whether some simple data preprocessing option, such as removing potential location shifts in W before performing its approximation, was able to improve the discrimination power of the data matrix.
These include Wald-type statistics based on the theory introduced by Akritas, Arnold and Brunner, as well as a Box-type approximation which is intended to improve the accuracy of approximation to asymptotic distributions.
