(1) What kind of algorithm is this? A. Dynamic Programing B. Greedy Algorithm C. Divide and Conquer D. None of the above (2) Is the above algorithm always optimal?
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- Kruskal's MSP algorithm is an example of following type of algorithm Divide and Conquer Dynamic Programming Greedy OtherFor the following algorithms how do you know which algorithm to use under what circumstances? Divide and Conquer, Greedy, Dynamic.Recall the rod cutting problem we discussed in class and in the book. While it might be possible for a theoretical person to cut the rod of length n, up to n times to achieve the maximum possible sale value, enterprising children do not possess the stamina to cut the rod so many times. They instead get tired or bored after only k cuts. Design a dynamic programming algorithm to maximize the value of selling cut rods if at most we can cut the rod k times. Please use elements in the table P to calculate the value of a continuous rod, e.g. an uncut rod of length i has value pi. Further you should analyze: 1. The time complexity of a baseline solution that does not use dynamic programming or memoization that exhaustively explores all potential solutions 2. The time complexity of your dynamic programming solution 3. Describe how you could change your algorithm to so to reconstruct the actual cuts in order achieve the highest value for the rod pieces.
- Moe, Larry and Curly have just purchased three new computers and use three different algorithms to sort lists: Comparisons / sec Search Algorithm T(n) Мое 50 Linear Search n Larry 5 Curly 1 Optimal Chunk Search 2/n Binary Search log2 n where T(n) is the number of comparisons it takes, in the worst case, to sort a list of size n. How large must n be to ensure that, for every list, ... i Curly's computer sorts faster than Moe's? ii Larry's computer sorts faster than Moe's?2-Clearly distinguish (the differences only) between each following pairs: a.Classical Search & Informed Search. b. Depth-first Search & breadth-first Search. c.Greedy Algorithm & A* Algorithm. Optimal solution & local Minimum solutionusing java to solve this algorithm problem