Binary_search(int a[], int size)
{
……….// binary search and return
}
Selection_Sort(int a[], int z)
{
…..// do the selection sort
}
main()
{
Selection_Sort(array, size);
Binary_Search(array, item);
}
Calculate the time complexity of this code and use O() notation.
Solution - Given the following pseudo code -
Binary_search(int a[], int size){
// binary search and return
}
Selection_Sort(int a[], int z){
// do the selection sort
}
main(){
Selection_Sort(array, size);
Binary_Search(array, item);
}
Let us assume that size of array be n i.e size = n
We know that the worst case time complexity of Selection sort is O(n2) and the worst case time complexity of Binary search is O(logn).
In main(), first selection_sort() is called to sort the array then binary_search() is called to search for the item in sorted array.
So, the overall complexity of this code is sum of both complexities
Over all complexity = O(n2) + O(logn)
The algorithm as a whole has a worst case running time of O(n2).
Look at the following pseudo code: Binary_search(int a[], int size) { ……….// binary search and return...
c++ 4) Look at the following pseudo code: Binary..search(int a[], int size) { } wel binary search and return Selection Sort(int a[], int z) { ww/ do the selection sort } main { Selection Sort(array, size): Binary. Search(array, item): IS Calculate the time complexity of this code and use 0 ) notation. +12 fa 11.
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