Question: 2.1 Complexity analysis: Represent the time complexity of the following recursive algorithm, T(n), as a recurrence equation: int pow_2( int n ){ if ( n==1)

2.1 Complexity analysis: Represent the time complexity of the following recursive algorithm, T(n), as a recurrence equation:

int pow_2( int n ){ if ( n==1) return 2; if ( n > 1) return ( 2 * pow_2( n-1 ) ); } 2.2 Complexity analysis: analyze the time complexity of the Top-Down implementation of the MergeSort algorithm on the following wikipedia webpage: http://en.wikipedia.org/wiki/Merge_sort For

TopDownMerge(A[], iBegin, iMiddle, iEnd, B[])

assume (iEnd - iBegin + 1) is n (that's the size of A), this algorithm will take c1.n + c0 to finish. Please represent the time complexity of TopDownSplitMerge(A[], iBegin, iEnd, B[]) as a recurrence equation. You don't need to solve this equation.

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