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Assignment 2 - Empirical Analysis of Popular Sorting Algorithms - Part II In this assignment, you will need to analyze the run-time of several different

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Assignment 2 - Empirical Analysis of Popular Sorting Algorithms - Part II In this assignment, you will need to analyze the run-time of several different algorithms. You are expected to design and implement experiments for the empirical analysis of some sorting algorithms. A. Comparison of Merge Sort and QuickSort You are going to implement Merge Sort and QuickSort and compare their performance. The performance comparison will be based on time, the number of comparisons, and the number of assignments. You can use any programming language to implement these two algorithms. However, since the project tries to compare the algorithms, the programming language and the run-time environment (computer, operating system, compiler) have to be identical for both algorithms. Here are the step by step instructions to do this assignment: 1. You can write your own code or use any code suggested below. 2. Modify the code so that the input can be read from a text file. 3. Modify the code so that you can measure the time spent during sorting. Start timing just before the sort operation, and measure it when it is done. A sample code for getting the time is provided below. 4. Decide what type and size of input you need. Generate input files. Use as many input instances (at least 4) as you need to determine the algorithms' growth rates. Act as if you have no idea about the algorithms. 5. For each input instance, use a separate file. 6. This step is an experimental one. Find the approximate maximum input size you can measure for both algorithms in a reasonable time (1 minute at most; you can use lesser time if you cannot calculate for 1 minute). How big can the input be for both algorithms in a reasonable time for your environment? 7. Count the number of comparisons for each algorithm for each test. 8. Count the number of assignments for arrays. 9. Compare both algorithms in terms of run-time, the number of comparisons, and the number of assignments. 10. Note: due to caching issues, run each input instance more than once. Do not take the first one into consideration as rernory misses will be the dominant issue for those. B. Comparison of QuickSort and Bubble Sort Repeat the same for QuickSort and Bubble Sort. C. Report Write a technical report about the experiments you have made. The report should explain how you did your measurements, experiment environment, methods you choose, and display results in a presentable way (using charts, etc.). Then you should comment on what you have found out, compare it with the theoretical assumptions, and explain the differences between theoretical predictions and practical results. You need to subrnit your report in PDF format. You need to compress all your code and input files as well. Absolutely no group work! Do everything individually. Good Luck

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