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An inner bound can then be found by using the bisection technique described above to find the largest value of for which maximizing the approximated objective yields a valid power allocation.
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However, we can obtain its optimal solution easily by using the bisection search technique since the throughput function is quite smooth [35].
The optimal power allocation is computed using the bisection method (relative error below 10−5).
As in the previous application example, we compute the optimal power allocation using the bisection method (relative error below 10−5).
Using the bisection method described in Remark 2.3, we can get a better approximation for such a b.
Note that in order to determine a search interval for the bisection technique, one may solve the relaxed problem in Section 3.2.
Thus, we can use the bisection method to find the optimal global multiplier μ [19].
We use the bisection method to solve this constrained optimization problem.
Here, we used the bisection method (Burden and Faires 1985), but any other simple root-finding algorithm might be used.
Already brands are using the technique.
In the latter, starting trees were obtained using random sequence addition and swapped using the tree bisection reconnection algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com