Table of Contents

## Is inorder traversal of BST sorted?

Given an array that stores a complete Binary Search Tree, write a function that efficiently prints the given array in ascending order. Solution: Inorder traversal of BST prints it in ascending order.

## Can we construct BST from inorder?

To construct a BST you need only one (not in-order) traversal. In general, to build a binary tree you are going to need two traversals, in order and pre-order for example.

## What is the inorder traversal of this BST?

The InOrder traversal is also known as left-node-right or left-root-right traversal or LNR traversal algorithm. If you remember, in BST, the value of nodes in left subtree is lower than the root and values of nodes on right subtree is higher than root.

## What is inorder in binary tree?

Inorder Traversal: For binary search trees (BST), Inorder Traversal specifies the nodes in non-descending order. In order to obtain nodes from BST in non-increasing order, a variation of inorder traversal may be used where inorder traversal is reversed.

## What is a full binary tree?

(data structure) Definition: A binary tree in which each node has exactly zero or two children. Also known as proper binary tree.

## How do I know if my BST is full?

- If a binary tree node is NULL then it is a full binary tree.
- If a binary tree node does have empty left and right sub-trees, then it is a full binary tree by definition.
- If a binary tree node has left and right sub-trees, then it is a part of a full binary tree by definition.

## What is a perfect tree?

A perfect binary tree is a binary tree in which all interior nodes have two children and all leaves have the same depth or same level. A balanced binary tree is a binary tree structure in which the left and right subtrees of every node differ in height by no more than 1.

## How do you know if a BST is empty?

If the tree is empty, then it is symmetrical to the vertical axis going through its root node. Else, check if the value at the root node of both subtrees is the same. If it is, then check if the left subtree and the right subtree are symmetrical.

## Can BST have duplicates?

In a Binary Search Tree (BST), all keys in left subtree of a key must be smaller and all keys in right subtree must be greater. So a Binary Search Tree by definition has distinct keys and duplicates in binary search tree are not allowed.

## What is a valid BST?

A valid BST is defined as follows: The left subtree of a node contains only nodes with keys less than the node’s key. The right subtree of a node contains only nodes with keys greater than the node’s key. Both the left and right subtrees must also be binary search trees.

## Is BST a complete binary tree?

In computer science, a binary search tree (BST), also called an ordered or sorted binary tree, is a rooted binary tree whose internal nodes each store a key greater than all the keys in the node’s left subtree and less than those in its right subtree.

## Which operation is cheaper in binary search tree?

BST is a special type of binary tree in which left child of a node has value less than the parent and right child has value greater than parent. Consider the left skewed BST shown in Figure 2.

## Is heap a complete binary tree?

Shape property: a binary heap is a complete binary tree; that is, all levels of the tree, except possibly the last one (deepest) are fully filled, and, if the last level of the tree is not complete, the nodes of that level are filled from left to right.

## What is the max-heap property?

Definition: Each node in a tree has a key which is less than or equal to the key of its parent. See also min-heap property, heap property. Note: The root node has the largest, or maximum, key.

## What is the difference between heap and binary heap?

The key difference between a Binary Heap and a Binomial Heap is how the heaps are structured. In a Binary Heap, the heap is a single tree, which is a complete binary tree. In a Binomial Heap, the heap is a collection of smaller trees (that is, a forest of trees), each of which is a binomial tree.

## Why is heap insert O 1?

It could be argued, that if you insert random element into the heap, that expected time of insert would be O(1), since there is much higher probability of bubbling up a little (lower levels are larger).

## What is minimum heap tree?

A Min-Heap is a complete binary tree in which the value in each internal node is smaller than or equal to the values in the children of that node.

## Why is array insertion o n?

The computational complexity of inserting an element in the middle of an array is O(N), where N is the number of elements in the array. The elements in the array must all be shifted up one index after the insertion, or all the elements must be copied to a new array big enough to hold the inserted element.

## What is the time complexity of min heap?

1) getMini(): It returns the root element of Min Heap. Time Complexity of this operation is O(1). 2) extractMin(): Removes the minimum element from MinHeap. Time Complexity of this Operation is O(Logn) as this operation needs to maintain the heap property (by calling heapify()) after removing root.

## What is a heap in C?

In computer science, a heap is a specialized tree-based data structure which is essentially an almost complete tree that satisfies the heap property: in a max heap, for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C.

## What is the height of a heap?

The height of a heap is the height of its root. You can implement a heap as an array. This array is essentially populated by “reading off” the numbers in the tree, from left to right and from top to bottom. Furthermore, for the heap array A, we also store two properties: A.

## What is the maximum number of leaves in heap?

The number of leaves in a binary heap is equal to n/2, where n is the total number of nodes in the tree, is even and n/2 when n is odd. If these leaves are removed, the number of new leaves will be lg(n/2/2 or n/4 . If this process is continued for h levels the number of leaves at that level will be n/2h+1 .

## What is the height of binary heap?

Since it is balanced binary tree, the height of a heap is clearly O(lgn), but the problem asks for an exact answer. The height is de ned as the number of edges in the longest simple path from the root. The number of nodes in a complete balanced binary tree of height h is 2h+1 ;1.

## What is the minimum height of a binary tree with n nodes?

In a binary tree, a node can have maximum two children. If there are n nodes in binary tree, maximum height of the binary tree is n-1 and minimum height is floor(log2n).

## What is minimum depth of binary tree?

The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node. For example, minimum height of below Binary Tree is 2. Note that the path must end on a leaf node. For example, the minimum height of below Binary Tree is also 2.

## What is the minimum height of binary tree with 60 nodes?

4. What is the minimum height for a binary search tree with 60 nodes? Explanation: If there are k nodes in a binary tree, maximum height of that tree should be k-1, and minimum height should be floor(log2k). By using the formula, minimum height must be 2 when there are 60 nodes in a tree.