evaluate the efficiency of Selection Sort, Insertion Sort and Quicksort. For doing this, you should evaluate their corresponding implementations in *each* of the 3 cases (*best*, *worst*, and *average*) and count the number of operations performed (assignments, comparisons, and overall, separately). For counting them, you need to add in the right place specific statements to increment the counters for assignments and/or comparisons, wherever needed

Draw charts to show how the running time (estimated in numbers of assignments *A(n), *comparisons *C(n), *and overall time* T(n)=A(n) + C(n)*) growths as the size of the input data *n* is growing. To draw the charts, vary the input size (*n*) between 100 and 1000, with an increment of maximum 100. For each size, generate the appropriate input sequence (*best*, *worst*, or *average*) for the specific sorting method (be aware: best/worst cases are not necessary the same for the three algorithms), run it, and store the values (*A(n)*, *C(n)*, * T(n)*).

For the *average* case, you have to repeat the measurements m times (m=5 should suffice) and report their average. Moreover, for the average case, make sure you always use the same input sequence for all three sorting methods for a fair comparison.

For each of the analyzed cases, generate charts which compare the three methods; use different charts for the number of comparisons, number of assignments and total number of operations. Name your charts and curves on each chart appropriately (that is, specify what the chart/curve represents).

Subject | Computer |

Due By (Pacific Time) | 02/05/2015 12:00 am |

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