Sentence examples for minimizing method is from inspiring English sources

In this paper, an Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning and noise effect minimizing method is proposed for tuning two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance.

An advantage of such objective-minimizing methods is that the black-border constraints can be naturally added to the problem and solved by constrained optimization.

As far as the second one is concerned, we obtain it by a minimizing method, which is concerned with a small ball centered at 0; see Step 4 in proof of Theorem 1.1.

This method is applied to minimizing gain ripple of full bandwidth (60 nm) a 100 Km Raman amplifier for different number of pumps.

The proposed method is based on the principle that minimizing thermodynamic irreversibility of the satisfying process will result in minimum utility consumption of the hydrogen network.

A novel method is proposed to choose scenarios from the sets for a smooth transition based on minimizing distances among the scenarios.

Nevertheless, it should be mentioned that statistical sampling methods like [ 6, 7] used for RNA structure prediction are based on thermodynamics and thus inevitably inherit the problems and imprecisions related to energy minimizing methods, which are caused by the still incomplete commonly used free energy models for RNAs.

The solution of this problem is based on the Nash equilibrium characteristics to search the minimizing function and relying on the metaheuristic methods is used to find the minimums.

That means, the proximal point algorithm for is a minimizing method for.

The tools used in our paper are the direct variational minimizing method and Rabinowitz's saddle point theorem.

While the optimal entropy-minimizing or accuracy-driven quantization methods are intractable, several simple schemes including scalar quantization with separate codebooks per parameter and joint scalar quantization with normalization perform well in their attempt to approximate the optimal clustering.