Sentence examples for implementation does not need from inspiring English sources

The final implementation does not need the serial comm port to function properly, though.

Recently, in order to solve the problem (1.8), Moudafi and Thakur [18] presented the following split proximal algorithm with a way of selecting the step sizes such that its implementation does not need any prior information as regards the operator norm.

In all our results in this work, our iterative schemes are proposed by way of selecting the step sizes such that their implementation does not need any prior information about the operator norm because the calculation or at least an estimate of the operator norm (|A|) is not an easy task.

Its design and implementation do not need a tedious parameter tuning, thus showing robustness to accommodate structural variations in the primary structure.

The method has the merits of high efficiency, easy implementation, and does not need to consider the relationship among adjacent pixels.

The implementation of the system does not need training data; however, the test data derived after classification are necessary only for the evaluation of the system performance.

The purpose of this paper is to propose a simultaneous iterative algorithm with a way of selecting the stepsizes such that the implementation of the algorithm does not need any prior information as regards the operator norms.

By introducing a new way of selections of the step, we obtain a method in a way that the implementation of algorithm (1.4) does not need any prior information of the operator norm.

To estimate the norm of an operator is not always easy, and if it is not easy to estimate the norm of an operator, we purpose another iterative algorithm with a way of selecting the step-sizes such that the implementation of the algorithm does not need any prior information as regards the operator norm.

Therefore, the implementation of the intervention does not need additional human actions.

Lastly, the implementation of this method does not need extensive statistical or biological work as compared to Bayesian approaches or PK-guided dose-escalation.