Python Program for Binary Search (Recursive and Iterative)
We basically ignore half of the elements just after one comparison.
- Compare x with the middle element.
- If x matches with middle element, we return the mid index.
- Else If x is greater than the mid element, then x can only lie in right half subarray after the mid element. So we recur for right half.
- Else (x is smaller) recur for the left half.
Recursive :
# Python Program for recursive binary search. # Returns index of x in arr if present, else -1 def binarySearch (arr, l, r, x): # Check base case if r >= l: mid = l + (r - l)/2 # If element is present at the middle itself if arr[mid] == x: return mid # If element is smaller than mid, then it can only # be present in left subarray elif arr[mid] > x: return binarySearch(arr, l, mid-1, x) # Else the element can only be present in right subarray else: return binarySearch(arr, mid+1, r, x) else: # Element is not present in the array return -1 # Test array arr = [ 2, 3, 4, 10, 40 ] x = 10 # Function call result = binarySearch(arr, 0, len(arr)-1, x) if result != -1: print "Element is present at index %d" % result else: print "Element is not present in array" |
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Output:
Element is present at index 3
Iterative:
# Iterative Binary Search Function # It returns location of x in given array arr if present, # else returns -1 def binarySearch(arr, l, r, x): while l <= r: mid = l + (r - l)/2; # Check if x is present at mid if arr[mid] == x: return mid # If x is greater, ignore left half elif arr[mid] < x: l = mid + 1 # If x is smaller, ignore right half else: r = mid - 1 # If we reach here, then the element was not present return -1 # Test array arr = [ 2, 3, 4, 10, 40 ] x = 10 # Function call result = binarySearch(arr, 0, len(arr)-1, x) if result != -1: print "Element is present at index %d" % result else: print "Element is not present in array" |
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Output:
Element is present at index 3
Please refer complete article on Binary Search for more details!
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