Consider the pseudo-code below: ALGORITHM MaxElement(A[0..n - 1]) //Determines the value of the largest element in a given array //Input: An array A[0..n - 1] of real numbers //Output: The value of the largest element in A maxval - A[0] for i 1 to n - 1 do if A[i] > maxval maxval ← A[i] return maxval a. What is the basic operation of this algorithm? b. Give the best-case and worst-case time complexities of this algorithm in asymptotic notation. Consider the algorithm below and give its best-case and worst-case time complexities in asymptotic notation. ALGORITHM UniqueElements (A[0..n-1]) //Determines whether all the elements in a given array are distinct //Input: An array A[0..n - 1] //Output: Returns "true" if all the elements in A are distinct // and "false" otherwise for i 0 to n - 2 do for ji+ 1 to n - 1 do if A[i] = A[j] return False return True

Q: Question1 (b)Consider the followingalgorithmwhere Small is an array of ninteger values:…

A: The question is to find the actual working of the code given in Algorithm Q1.

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A: Algorithm

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A: Here is the python code of the above problem. See below steps for code.

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A: We can answer only one question at a time kindly upload remaining question seperatly. EDITALE CODE:…

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Recurrence relation

A recurrence relation or recursive relation is an equation that represents a function in terms of the values of its smaller inputs. Every recurrence relation T(n) is a recursive function of integer n and consists of a base case and a recursive case.