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Discover the efficiency of greedy algorithms. Explore how this algorithm is applied to optimization and decision-making problems across various domains.
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Deal with the problem of scheduling the most talks possible given the start and end times of n talks. Find the complexity of the greedy algorithm for scheduling the most talks by adding at each step the talk with the earliest end time compatible with those already scheduled (Algorithm 7 in Section 3.1). Assume that the talks are not already sorted by earliest end time and assume that the worst-case time complexity of sorting is O(n logn). | Numerade
Deal with the problem of scheduling the most talks possible given the start and end times of n talks. Find the complexity of the greedy algorithm for scheduling the most talks by adding at each step the talk with the earliest end time compatible with those already scheduled (Algorithm 7 in Section 3.1). Assume that the talks are not already sorted by earliest end time and assume that the worst-case time complexity of sorting is O(n logn). | Numerade
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