( Empirical Analysis of Performance and Algorithm Visualization ) Take an available…

(Empirical Analysis of Performance and Algorithm Visualization)

  1. Take an available implementation of the Selection Sort algorithm. Run it on a randomly generated data of fixed size and note down the execution time. Repeat the experiment 10 times on the same data and fill the table below.

Trial #

Execution Time (ms)











  1. Why is the execution time different for each trial?

  1. A good way to approximate the execution time is to take the average time of multiple trials. Do this for different data sizes and fill the table below:

Data Size (number of elements)

Average Execution Time of 10 trials (ms)










  1. Plot the data in the table above. Average time along y-axis and the data size along x-axis.
  1. The time complexity of Selection Sort algorithm is O(n^2). Plot it and verify that the curve looks like the one in (d).
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