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What is the time complexity of the algorithm with the recurrence relation t(n) 4t(n/2) n?
The time complexity of the algorithm with the recurrence relation t(n) 4t(n/2) n is O(n2).
What is the time complexity of the algorithm with the recurrence relation t(n) 2t(n/4) n?
The time complexity of the algorithm with the recurrence relation t(n) 2t(n/4) n is O(n log n).
What is the time complexity of an algorithm that follows the recurrence relation t(n) t(n/2) n?
The time complexity of the algorithm is O(n log n).
What is the time complexity of a recursive algorithm that follows the master theorem with a recurrence relation of T(n) T(n-1) O(1)?
The time complexity of the recursive algorithm is O(n) according to the master theorem with the recurrence relation T(n) T(n-1) O(1).
How does the recurrence for insertion sort help in analyzing the time complexity of the algorithm?
The recurrence for insertion sort helps in analyzing the time complexity of the algorithm by providing a way to track and understand the number of comparisons and swaps that occur during the sorting process. By examining the recurrence relation, we can determine the overall efficiency of the algorithm and predict its performance for different input sizes.
