## Codes must be in Python ##
In a binary search tree
#Python program
# worst case time complexity of the binary_search function = O(n) n is number of elements in BST
class Node:
def __init__(self,key):
self.left = None
self.right = None
self.val = key
def insert_element(root,node):
if root is None:
root = node
else:
if root.val < node.val:
if root.right is None:
root.right = node
else:
insert_element(root.right, node)
else:
if root.left is None:
root.left = node
else:
insert_element(root.left, node)
def binary_search(root,key):
print(root.val)
if root is None or root.val == key:
return root
if root.val < key:
return binary_search(root.right,key)
return binary_search(root.left,key)
r = Node(10)
insert_element(r,Node(20))
insert_element(r,Node(30))
insert_element(r,Node(40))
insert_element(r,Node(50))
insert_element(r,Node(60))
insert_element(r,Node(80))
binary_search(r,80)
## Codes must be in Python ## In a binary search tree What is worst case time complexity of the binary_search function? Provide an example binary search tree that exhibits worst case running time of...
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I need question 9-10 answered. Thank you
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