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Most importantly, in [16] an algorithm for finding optimal CCs location is proposed.
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Experimentation with these settings revealed that default options were sufficient for finding optimal trees.
Chicago is finding optimal ways to utilize his quick-trigger prowess since the break, too.
We provide an efficient algorithm for solving the game, thereby finding optimal detection thresholds.
We give a polynomial time algorithm for finding optimal Nash equilibria.
There are simple program flow graphs for which finding optimal instrumentations is possibly exponential.
Thus, in finding optimal policy, no recursive procedures are required.
Genetic algorithm is the best choice for finding optimal path.
Therefore finding optimal subcarrier and power assignment requires searches.
Note that the purpose of C3 is to find the optimal CC solution under CC number constraint, which has less relationship with the power allocation.
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