Chapter 8: Q21SE (page 526)
Give a big-O estimate for the size of f in Exercise \(1{20}\) if f is an increasing function.
Short Answer
We have then shown that is \(O\left( {{n^4}} \right)\).
Chapter 8: Q21SE (page 526)
Give a big-O estimate for the size of f in Exercise \(1{20}\) if f is an increasing function.
We have then shown that is \(O\left( {{n^4}} \right)\).
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Use your answer to part (a) to find .
How many ternary strings of length six contain two consecutive 0's ?
Show that the algorithm from Exercise \({24}\) has worst-case time complexity \({O}\left( {{log n}} \right)\)in terms of the number of comparisons.
Apply the algorithm described in the Example for finding the closest pair of points, using the Euclidean distance between points, to find the closest pair of the pointsand .
Suppose that each person in a group of \(n\) people votes for exactly two people from a slate of candidates to fill two positions on a committee. The top two finishers both win positions as long as each receives more than \(n/2\)votes.
a) Devise a divide-and-conquer algorithm that determines whether the two candidates who received the most votes each received at least \(n/2\)votes and, if so, determine who these two candidates are.
b) Use the master theorem to give a big- \(O\) estimate for the number of comparisons needed by the algorithm you devised in part (a).
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