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In addition, we can execute this method in a computer simply.
The implementation of current approach in analogy to existing methods is more convenient and the accuracy is high, and we can execute this method in a computer in a speedy manner with minimum CPU time used.
Therefore, when executing this kind of methods, the use of all the cores results in an increment of the execution time (due to the overhead introduced by the synchronization, communication and management of the cores) and the corresponding waste of energy.
However, it is clear that if the set C is simple enough, so that the projection onto it is easily executed, then this method is particularly useful; but if C is a general closed and convex set, then a minimal distance problem has to be solved in order to obtain the next iterative.
The thin front cover of a digital camera is provided as the example of executing the method.
A summary of results of executing the method in all datasets can be found in Table 2.
By executing the method mentioned in Section 2.2, certain shortest path genes can be extracted from the constructed network.
After executing these methods, we removed modules containing <5 proteins and obtained 1290 modules.
But, the large number of methods published in the literature attest to the difficulty of executing these methods reliably and efficiently.
They have a delicate system suitability to properly execute the method.
We send the data to joint's controller, and the controller will use a closed loop control method to execute this commend.
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