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To determine the accuracy obtained in the field conditions, the algorithm described in work [3] was used.
To simulate power grid topologies under fault conditions, the algorithm has been generalized to generate random graphs with prescribed numbers (one or multiple) of connected components.
Checking the terminating conditions; The algorithm will stop if any of the following conditions are fulfilled Maximum number of iterations is reached.
Under certain conditions, the algorithm can achieve the global optimum within a single iteration; otherwise it can be achieved in a polynomial time.
Under plane stress conditions, the algorithm is further simplified using a three-dimensional Euclidean space based on the deviatoric stresses or strains.
But, loWhenng the data rate may lead tofdelay violations.
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If the algorithm satisfies the end condition, the algorithm is terminated; otherwise, the process jumps to step 3. .
Moreover, exploiting the Erzberger׳s perfect model following condition, the algorithm obtains the pseudo inverse of the system to make the system track different test trajectories.
Once the recursive part of the coefficients in 1−A does not satisfy the desired SPR condition, the algorithm is doomed to be unstable.
If at least one source satisfies the "clean partial" condition, the algorithm skips to item (d), and the most energetic reference partial is taken as the global reference partial.
With this condition, the algorithm assures that the network is able to send the packet without causing future packets loss from streams with higher priorities.
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CEO of Professional Science Editing for Scientists @ prosciediting.com