Question: Using the active operation approach, determine the time complexity of the pseudocode Show all your work and express your final answer in big-Q notation. Consider

Using the active operation approach, determine the time complexity of the pseudocode

Show all your work and express your final answer in big-Q notation.


Consider the following pseudocode: 1 Algorithm roundRobin Tournament (a) 2 This algorithm generates the list Consider the following pseudocode. 1 Algorithm multiSearch ( data, target ): 2 3 data: a list of arrays of Suppose the exact time required for an algorithm A in both the best and worst cases is given by the function 

Consider the following pseudocode: 1 Algorithm roundRobinTournament (a) 2 This algorithm generates the list of matches that must be 3 played in a round-robin pirate-dueling tournament (a tournament where 4 each pirate duels each other pirate exactly once). LO 5 6 a is an array of strings containing names of pirates in the tournament 7 8 n = a.length 9 for i = 0 to n-1 10 11 for j = i+1 to n-1 print a[i] + "duels " + a[j] + ", Yarrr!" Note: the pseudocode for i = a to b means that the loop runs for all values of i between a and b, inclusive, that is, including the values a and b. (a) (6 points) Use the statement counting approach to determine the exact number of statements that are executed by this pseudocode as a function of n. Show all of your calculations. Activate (b) (1 point) Express the answer you obtained in part a) in big-O notation (since, again, the best and Setting worst cases are the same).

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