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The algorithm was investigated under medium traffic intensity.
The algorithm was investigated under extremely high traffic intensity.
Case 2 In this case, the algorithm was investigated under high traffic intensity.
The performance of the algorithm was investigated as a function of several variables.
The algorithm was investigated with the use of different test cases based on IEEE second benchmark model of subsynchronous resonance.
The performance of the algorithm was investigated for all 171 simulated qHTS data sets by examining combinations of AC 50 (three levels), | RMAX| (three levels), and R0 (one level) for three different cases (Table 2).
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The merits of the algorithm are investigated via numerical simulations.
The unbias and efficient properties of the algorithm are investigated.
Parameters affecting the performance of the algorithm are investigated.
Time complexity and error analysis of the algorithm are investigated.
The convergence region of the algorithm is investigated and the corresponding correct solution is given.
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CEO of Professional Science Editing for Scientists @ prosciediting.com