Quick Sort Analysis
Description
– A brief introduction of the quick sorting algorithm that you have selected and how the iterative and recursive versions of the algorithm compare including:
o High-level pseudocode for the sorting algorithms
o A Big-? analysis of the two versions of the algorithm
o An explanation of your approach to avoiding the problems associated w th JVM warm-up
o A discussion of the critical operation that you chose to count with an explanation of why you selected it
– An analysis of the results of your study, which should include:
o Graph of critical operations for both algorithms and one for the execution times
o A comparison of the performance of the two versions of the algorithm
o a comparison of the critical operation results and the actual execution time measurements
o A discussion of the significance of the coefficient of variance results and how it reflects the data sensitivity of your algorithm
o How your results compare to your Big-? analysis
– A conclusion that summarizes the important observations of your study
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