Hi all: i read the algorithm below to find the lowest common ancestor of two nodes in a binary search tree.
/* A binary tree node has data, pointer to left child
and a pointer to right child */
struct node
{
int data;
struct node* left;
struct node* right;
};
struct node* newNode(int );
/* Function to find least comman ancestor of n1 and n2 */
int leastCommanAncestor(struct node* root, int n1, int n2)
{
/* If we have reached a leaf node then LCA doesn't exist
If root->data is equal to any of the inputs then input is
not valid. For example 20, 22 in the given figure */
if(root == NULL || root->data == n1 || root->data == n2)
return -1;
/* If any of the input nodes is child of the current node
we have reached the LCA. For example, in the above figure
if we want to calculate LCA of 12 and 14, recursion should
terminate when we reach 8*/
if((root->right != NULL) &&
(root->right->data == n1 || root->right->data == n2))
return root->data;
if((root->left != NULL) &&
(root->left->data == n1 || root->left->data == n2))
return root->data;
if(root->data > n1 && root->data < n2)
return root->data;
if(root->data > n1 && root->data > n2)
return leastCommanAncestor(root->left, n1, n2);
if(root->data < n1 && root->data < n2)
return leastCommanAncestor(root->right, n1, n2);
}
Note that above function assumes that n1 is smaller than n2. Time complexity: O(n)Space complexity: O(1)
this algorithm is recursive,i know that when invoking a recursive function call,the function arguments and other related registers is pushed to the stack,so extra space is needed,on the other hand, the recursive depth is related to the size or height of the tree,say n,does it make more sense to be O(n)?
Thanks for any explanations here!