The phrase "computational ease" is correct and usable in written English.
It can be used when discussing the simplicity or efficiency of performing computations or algorithms.
Example: "The new algorithm was designed with computational ease in mind, allowing for faster processing times."
Alternatives: "computational simplicity" or "ease of computation".
The inference drawn from the findings of the paper is that the EBC shows a potentiality in modeling CNT-based nanostructures owing mainly to its computational ease.
The Gompertz function was selected to describe kernel growth based on information criteria, biological interpretation of the parameters, and computational ease.
The computational ease of the SFR method renders it an attractive option for ECT where real-time imaging is required and theoretical statistical evaluation of proposed electrode configurations may readily be performed.
To explain these observations, a difference of Gaussian (DOG) filter was suggested, which was subsequently modified to a Laplacian of Gaussian (LOG) filter for computational ease in handling two-dimensional retinal inputs.
The main advantage of the Gibbs sampler is its relative computational ease.
In what follows, we will adopt the above two estimators of β to develop the estimator of α due to their simplicity and computational ease as well as high breakdown points.
Among the various adaptive algorithms, the normalized least mean square (NLMS) algorithm is most widely used due to its computational simplicity and ease of implementation [4].
Thus, our methods inherit the fast convergence properties, computational simplicity, and ease of use of the FastICA algorithm while at the same time extending this class of techniques to complex signal mixtures.
Single-linkage clustering was chosen for its computational simplicity, and ease of interpretation of the results.
Automatic variable selection methods, including forward selection, backward elimination, and stepwise selection (hereafter, 'stepwise methods') [ 6, 7] were developed in 1960s and gained popularity in epidemiology and other fields for a number of reasons, including computational simplicity, relative ease of interpretation, and their implementation in major statistical software packages [ 3].
To overcome the major disadvantage of the small region of sampling in local sensitivity analysis while retaining the ease of computational simplicity, some studies have used a global approach of averaging local sensitivities taken throughout the parameter space [ 13].
