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Ans.
An algorithm for the quick sort is as follows:
void quicksort ( int a[ ], int lower, int upper )
{
int i ;
if ( upper > lower ) {
i = split ( a, lower, upper ) ; quicksort ( a, lower, i - 1 ) ; quicksort ( a, i + 1, upper ) ; }
}
int split ( int a[ ], int lower, int upper ){
int i, p, q, t ;
p = lower + 1 ;
q = upper ;
i = a[lower] ;
while ( q >= p )
while ( a[p] < i )
p++ ;
while ( a[q] > i )
q-- ;
if ( q > p )
t = a[p] ; a[p] = a[q] ; a[q] = t ;
t = a[lower] ; a[lower] = a[q] ; a[q] = t ;
return q ; }
Merge sort: Merge sort is a sorting algorithm that uses the idea of split and conquers. This algorithm splits the array into two halves, sorts them separately and then merges t
Best Case: If the list is sorted already then A[i] T (n) = c1n + c2 (n -1) + c3(n -1) + c4 (n -1) = O (n), which indicates that the time complexity is linear. Worst Case:
Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in
Determine about the push operation A Container may or may not be accessible by keys, so it can't make assumptions about element retrieval methods (for example, it cannot have a
Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?
algorithm of output restricted queue.
What is binary search? Binary search is most useful when list is sorted. In binary search, element present in middle of the list is determined. If key (the number to search)
Complexity : How do the resource needs of a program or algorithm scale (the growth of resource requirements as a function of input). In other words, what happens with the performan
what are grounded header linked lists?
Following are some of the drawback of sequential file organisation: Updates are not simply accommodated. By definition, random access is impossible. All records should be
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