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  1. Analyze the sorting algorithms, including merge sort, insertion sort, bubble sort,  and selection sort
  2. For each algorithm, briefly describe how it works and its worst-case time complexity.
  3. Implement each algorithm in Java.
  4. Generate test data sets of varying sizes (e.g., 10, 100, 1000, 10000 elements) and randomly generate or manually enter values.
  5. Time each algorithm on each test data set using the nanoTime() method.
  6. Calculate the average runtime of each algorithm on each data set.
  7. Create a table or chart to compare the average runtimes of each algorithm on each data set.
  8. Write a report summarizing your findings. Include a discussion of the efficiency of each algorithm and any observations or conclusions you can draw from your analysis.
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Follow-up Question
  1. Time each algorithm on each test data set using the System.nanoTime()  method.
  2. Calculate the average runtime of each algorithm on each data set.
  3. Create a table or chart to compare the average runtimes of each algorithm on each data set.
  4. Write a report summarizing your findings. Include a discussion of the efficiency of each algorithm and any observations or conclusions you can draw from your analysis.
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Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question
  1. Time each algorithm on each test data set using the System.nanoTime()  method.
  2. Calculate the average runtime of each algorithm on each data set.
  3. Create a table or chart to compare the average runtimes of each algorithm on each data set.
  4. Write a report summarizing your findings. Include a discussion of the efficiency of each algorithm and any observations or conclusions you can draw from your analysis.
Solution
Bartleby Expert
by Bartleby Expert
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