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We existing an EREW parallel algorithm for that PROFIT/COST trouble with timecomplexity O(log n) utilizing a linear range of processors. The design of this algorithmemploys the two the derandomization system and also the pipeline technique.
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Our sequential algorithm normally takes O(n log log n) time and our parallel algorithm is of O(log2n) time and processors under the CREW PRAM model. Read additional
We present an EREW parallel algorithm for your Revenue/COST dilemma with time complexity O(log n) utilizing a Parallel Profits linear amount of processors. The design of this algorithm employs equally the derandomization technique along with the pipeline approach. The algorithm can be utilized to partition the vertices of the graph into two sets these that the quantity of edges incident with vertices in each sets is at the very least 50 % with the .
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