Skip to main content

Answers for Binary Tree Questions

26. Find height of a tree with or without recursion.
Int FindHeight ( struct node *root)
{
If ( !root) return 0;
Return ( 1+max (findHeight(root->left),findheight(root->right)));
}

Note: For a tree height and depth is same, but for an individual node its same. Root’s height is 1 while depth is 0.
Reader: Can any one post the algorithm for finding tree height without recursion.

27. Find the levels in tree and no of node at every level.
Use BFS.
Void levelorder( struct binarynode * root)
{
Enque(root);
While ( !emptyQ())
{
Temp = deque(q);
// Process node
If ( temp->left) enque(q,temp->left);
If ( temp->right) enque(q,temp->right);
}
}
Use the BFS and put the NULL after every deque give you a null.

28. No of leaves on tree.
Int countleaves( struct binarynode * root)
{
If ( !root) return 0;
If ( !root->left && !root->right) return 1;
Return ( countleaves(root->left) + countleaves(root->right));
}
Can anyone write the algorithm without recursion.

29. Find the diameter of tree. Longest distance between two same level nodes.
Need state management, can be solved by:
Static : multithreading problem
Global: data hiding problem
Pass as argument or use functor.
Int treeDiameter ( struct binarynode *root, int *pd)
{
Int left, right;
If ( !root) return 0;
Left = treeDiameter(root->left,pd);
right = treeDiameter(root->right,pd);
if ( left + right > *pd) * pd = left+right;
return max (left, right) +1;
}

30. Write pre/in/post order traversal with and without recursion.
Void preorder ( struct binarynode * root )
{
If ( root)
{
Processnode(root); //1
Preorder(root->left);//2
Preorder(root->right);//3
}
}
For preorder (1->2->3), inorder(2->1->3) and postorder ( 2->3->1).

31. Serialization of binary tree. Storing data/object in a file and then retrieving it back.
Sol: Store inorder and preorder traversal in file and retrieve the same and you can always build tree from preorder and inorder.
Int I = 0; int l =0; int r = n-1;
Struct binarynode *temp = new struct binarynode ();

Struct binarynode * buildtree( int in[], int pre[], int l, int r)
{
If ( l > r) return null;
Temp->element = pre[l];
Int p = search (in,l,r,pre[l++]);
Temp->left = buildtree(in,pre,l,p-1);
Temp->right = buildtree(in,pre,p+1,r);
Return temp;
}

32. Find the least common ancestor for any two given nodes from tree.
a) Get an inorder and preorder traversal. Find all element between two given nodes, and search for the first element in preorder
b) Struct binarynode * LCA ( struct binarynode *root, struct binarynode *p, struct binarynode * q)
{
If ( !root) return 0;
If ( root == p || root == q ) return root;
Left = LCA(root->left, p,q);
Right = LCA( root->right,p,q);
If ( left && right ) return root;
Else return( left?left”right);
}

33. Threaded binary tree and link inversion tree.

34. Find whether a given tree is BST or not.
a) Do a inorder traversal, and if elements are sorted then its binary tree.
b) int IsBST( struct BSTnode *root, int min, int max )
{
If ( !root) return 1;
Return ( root->element >min && root->element IsBST(root->left, min,root->element) &&
IsBST(root->right,root->element, max));
}

35. Write code for inorder successor. Link to parent node is available.
Struct BSTnode * inordersuccessor ( struct BSTnode *p )
{
If ( !p->right )
{
If ( p->parent->left == p ) return p->parent;
While ( p->parent->right == p ) p = p->parent;
Return p->parent;
}
Else
{
P = p->parent;
While ( p ->left)
P = p->left;
Return p;
}
}


36. Find the kth smallest element of BST.
a) Int count = 0;
Struct BSTnode *kthsmallest ( struct BSTNode *root, int k )
{
If ( !root) return NULL;
Left = kthSmallest ( root->left, k);
If ( left != NULL ) return left;
If ( ++count == K ) return root;
Return kthsmallest(root->right, k );
}
b) Without global variable : pass as an argument.
c) With augmented binary tree, store size of binary subtree with each node.

37. Convert BST to doubly link list.
Struct node * append ( struct node *first, struct node *last )
{
If ( first == NULL )
{
Last->left = last->right = last;
Return last;
}
Last->right = first;
Last->left = first->left;
First->left->right = last;
First->left = last;
Return first;
}
Void BSTtoDLL ( struct node *root, BSTnode *prev )
{
BSTnode *tmp;
If ( !root ) return;
BSTtoDLL( root->left,prev);
Temp = root->right;
*prev = append (*prev,root);
BSTtoDLL(tmp,prev);
}
Without prev variable
Struct node * BSTtoDLL( BSTNode * root )
{
If ( !root) return NULL;
Left = BSTtoDLL(root->left);
Right = BSTtoDLL(root->right);
Return append(left, right, root );
}

38. Is the given BST is AVL or not?
Int isbalance ( struct BSTnode *root )
{
Int left, right;
If ( !root ) return 0;
Left = isbalanced(root->left);
If ( left == -1 ) return -1;
Right = isbalanced(root->right);
If ( right == -1 ) return -1;
Return ( max(left,right)+1);
}

Comments

Popular posts from this blog

[PUZZLE] ELEPHANT AND BANANA PUZZLE

A merchant has bough some 3000 banana from market and want to bring them to his home which is 1000 km far from Market. He have a elephant which can carry maximum of 1000/- banana at time. That could have been easy but this elephant is very shrewd and he charges 1 banana for every one kilometer he travel. Now we have to maximise number of banana which should reach to home. Solution: At present we are at 0th km with 3000 banana and elephant. Lets see if elephant have to shift all the 3000 banana and elephant by 1 km. For 1 km shift: Take first 1000 banana and drop at 1st km. 2 banana consumed. One banana each for to and fro. Second  1000 banana and drop at 1st km. 2 banana consumed. Third 1000 banana and reach at 1st km. 1 banana consumed. So all in all total 5 banana will be consumed if we shift a kilometer. But that's not all, our total banana number are also reducing so we may have to reduce the number of turns too. And this will happen once we have reduced the b

[JAVA] Evil Null

Elvis operator could have been a good use here. But unfortunately have been decline till now. Its used to say "?." Operate only if not null. Class A {  public B getB() {    return new B(); } } public void test( A a) {     if ( a != null  )         return a.getB();  } Above method would be replaced with public void test ( A a) {      return a?.getB();  } Unfortunately its still some time we can see some think like that. So till that we have to live with two choices: 1. Check for null. 2. Use the Null Object Pattern. So we all know that how to check for null objects and believe me i had real long chain of checking null. Second way can be useful but if this chain is pretty long its can be tiresome to have null object for all the hierarchy Null Object means there will be definition of class A (mostly derived from same interface.) and will have dummy methods which will nullify any call to these methods.

Complete the Tour

Given a circular road and a set of petrol pumps located at distances d1 d2 ... dn away from each other and supplying p1 p2 p3 ... pn amounts of fuel and your vehicle has a mileage of 1km/l. Determine the feasibility of going around the path starting with zero fuel. Find a point from which you can start and complete the cycle given that you have zero initial fuel. This will be O(n) algorithm. Start from a random node say i...check till the last node it reach. Two case: 1: Either it reach to last node. And current node i is result. 2. It stopped at node j. Then start from node j+1. to find where we can reach all the node by above algorithm. No Node from i to j can complete the traversal, because each node will start with 0 petrol. While traversing from i we always reached that node >= 0. So that condition is already checked.