Analysis Divide & Conquer: Analyze the complexity of algorithm A1 where the problem of size n...
Suppose that, in a divide-and-conquer algorithm, we always
divide an instance of size n of a problem into 5 sub-instances of
size n/3, and the dividing and combining steps take a time
in Θ(n n). Write a recurrence equation for the running time T
(n) , and solve the
equation for T (n)
2. Suppose that, in a divide-and-conquer algorithm, we always divide an instance of size n of a problem into 5 sub-instances of size n/3, and the dividing...
A divide-and-conquer algorithm solves a problem by dividing the input (of size n>1, T(1) =0) into two inputs half as big using n/2-1 steps. The algorithm does n steps to combine the solutions to get a solution for the original input. Write a recurrence equation for the algorithm and solve it.
A divide-and-conquer algorithm solves a problem by dividing the input (of size n>1, T(1) =0) into two inputs half as big using n/2-1 steps. The algorithm does n steps to combine the solutions to get a solution for the original input. Write a recurrence equation for the algorithm and solve it.
Suppose the following is a divide-and-conquer algorithm for some problem. "Make the input of size n into 3 subproblems of sizes n/2 , n/4 , n/8 , respectively with O(n) time; Recursively call on these subproblems; and then combine the results in O(n) time. The recursive call returns when the problems become of size 1 and the time in this case is constant." (a) Let T(n) denote the worst-case running time of this approach on the problem of size n....
We know that binary search on a sorted array of size n takes O(log n) time. Design a similar divide-and-conquer algorithm for searching in a sorted singly linked list of size n. Describe the steps of your algorithm in plain English. Write a recurrence equation for the runtime complexity. Solve the equation by the master theorem.
Provide a divide-and-conquer algorithm for determining the smallest and second smallest values in a given unordered set of numbers. Provide a recurrence equation expressing the time complexity of the algorithm, and derive its exact solution (i.e., not the asymptotic solution). For simplicity, you may assume the size of the problem to be an exact power of a the number 2
Provide a most efficient divide-and-conquer algorithm for determining the smallest and second smallest values in a given unordered set of numbers. Provide a recurrence equation expressing the time complexity of the algorithm, and derive its exact solution in the number of comparisons. For simplicity, you may assume the size of the problem to be an exact power of a the number 2
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P4. (25 pts) [Ch5. Divide and Conquer] a. (10 pts) Briefly describe a divide and conquer algorithm for computing the sum of n positive integers. You may assume the integers all have the same number of digits which is a constant. b. (5 pts) Write out a recurrence for your solution, and identify which case of the Master method applies. c. (10 pts) Solve the recurrence in (b) using back-substitution. Show your work. Is the divide and conquer...
a) Devise a divide-and-conquer algorithm that determines whether the two candidates who received the most votes each received at least n/4 votes and, if so, determine who these two candidates are. [Hint: a candidate could not have received a semi-majority of votes in the overall election without receiving a semi-majority in the first half of votes or a semi-majority in the second half of votes (note: you need to defend this).] b) Use the master theorem to give a big-O...
(a) Your company participates in a competition and the fastest algorithm wins. You know of two different algorithms that can solve the problem in the competition. • Algorithm I solves problems by dividing them into five subproblems of half the size, recursively solving each subproblem, and then combining the solutions in linear time. • Algorithm 2 solves problems of size n by dividing them into 16 subproblems of size n/4, recursively solving each subproblem, and then combining the solutions in...