Sentence examples for the method of partitioning from inspiring English sources

The method of partitioning used in the circuit model ensures that communications between tasks take place only at defined times in the simulation sequence.

For instance, [6, 7] study the synchronization control problem of discrete complex dynamical networks with a time varying delay by using the method of partitioning time delay and chief stability function, respectively.

We also computed a partition for the non-overlapping community structure in the structural brain network using the modularity optimization method [42], which was the same as the method of partitioning the maximal clique network.

Differences in the methods of partitioning existed not only between studies but also within studies analysing intake of different foods.

The shooting distance can affect the shooting area and the detection accuracy of the image, the method of partition shooting must be used to ensure the detection accuracy according to the size of the concrete member.

Despite the bold new idea underlying the ADT method of partitioning off non-content-determining causes, it too appears to sneak in naturalistically unacceptable assumptions.

Cross-validation, is the statistical method of partitioning a sample of data into subsets such that the analysis is initially performed on a single subset, while the other subset(s) are retained for subsequent use in confirming and validating the initial analysis [ 13].

The most straightforward method of estimating the accuracy of future prediction is the split-sample method of partitioning the set of samples into a training set and a test set as described in the previous paragraph.

Such controllers are known to have singularities in some parts of the state space and, in this paper, we propose a method of partitioning the state space into two regions where the TSMC is bounded and its complement.

In this work, we propose to use community detection in network representations of optimization problems as a systematic method of partitioning the optimization variables into groups, such that the variables in the same groups generally share more constraints than variables between different groups.

First, we present a novel method of partitioning the bioinformatics data using consensus fuzzy clustering, where the recently proposed fuzzy clustering techniques are exploited.