Table of Contents
- 1 In which of the following tree left child is smaller than parent and right child is greater than parent?
- 2 What is the calculation of left child and right child?
- 3 In which of the following tree left child node has a key value less than the parent node and right child key value is greater than parent node?
- 4 What is left child node?
- 5 How do you calculate left child and right node in heap sort?
- 6 Why do we use trees in data structures?
- 7 What are the properties of binary search tree?
- 8 How many children does a binary tree have?
In which of the following tree left child is smaller than parent and right child is greater than parent?
A tree is said to be a binary search tree if every left child is smaller than its parent and every right child is larger than its parent.
What are the children left child and right child for node N of a binary tree in an array representation?
Explanation: The left child is generally taken as 2*w whereas the right child will be taken as 2*w+1 because root node is present at index 0 in the array and to access every index position in the array.
What is the calculation of left child and right child?
For example, in the above picture, the node ‘B’ has 2 children, node ‘D’ has 1 child and node ‘G’ has 0 children. The left child of the node i is 2i, if the left child exists i.e., 2i > the total number of nodes. For example, the left child of the node 4 is 2*4 i.e., the node 8.
What will be the left child of the root node?
To summarize the illustration of this tree: a node will be the root of our binary Tree. a left child is b node. a right child is c node.
In which of the following tree left child node has a key value less than the parent node and right child key value is greater than parent node?
Binary Search tree
Binary Search tree exhibits a special behavior. A node’s left child must have a value less than its parent’s value and the node’s right child must have a value greater than its parent value.
Which value of parent node is always greater than equal to its children?
max-heap
A max-heap is a heap where the value of each parent is greater than or equal to the value of its children.
What is left child node?
Left-Child Right-Sibling Representation is a different representation of an n-ary tree where instead of holding a reference to each and every child node, a node holds just two references, first a reference to its first child, and the other to its immediate next sibling. Parent should be linked with only first child.
What is the location of left node for any arbitrary node i?
What is the location of a parent node for any arbitary node i? Explanation: For any node child nodes are located at either 2*i, 2*i +1 So the parent node could be found by taking the floor of the half of child node. 5.
How do you calculate left child and right node in heap sort?
If the parent node is stored at index I, the left child can be calculated by 2 * I + 1 and the right child by 2 * I + 2 (assuming the indexing starts at 0).
What is the formula to store left child of element whose position is m in an array assume Index starts from 0?
So, starting the heap at index 1 will probably make faster calculation of parent, left and right child indexes. To add to that, if allocations are aligned by default doing peekMin() at position 1 instead of 0 could (depending on the datatypes) easily make the access much more expensive than the add.
Why do we use trees in data structures?
Why Tree? Unlike Array and Linked List, which are linear data structures, tree is hierarchical (or non-linear) data structure. If we organize keys in form of a tree (with some ordering e.g., BST), we can search for a given key in moderate time (quicker than Linked List and slower than arrays).
What is the difference between a parent node and child node?
Any subnode of a given node is called a child node, and the given node, in turn, is the child’s parent. Sibling nodes are nodes on the same hierarchical level under the same parent node. Nodes higher than a given node in the same lineage are ancestors and those below it are descendants.
What are the properties of binary search tree?
A Binary Search Tree (BST) is a tree in which all the nodes follow the below-mentioned properties − The left sub-tree of a node has a key less than or equal to its parent node’s key. The right sub-tree of a node has a key greater than to its parent node’s key. Thus, BST divides all its sub-trees…
Why is the tree to the left a binary tree?
The tree to the left is a binary tree because each node has 0, 1, or 2 children. But, this is not a BST. For instance, the root’s right child is 2. 2 is less than the value of the root, which is 15. Furthermore, for a node with a value of 2, its left child has a value of 17, which also violates the BST property.
How many children does a binary tree have?
In case the tree is binary, each node has at most two children. The BST has an important property: every node’s value is strictly greater than the value of its left child and strictly lower than the value of its right child. It means, we can iterate all the values of the BST in sorted order.
How do you traversal a binary search tree?
This traversal first goes over the left subtree of the root node, then accesses the current node, followed by the right subtree of the current node. The code represents the base case too, which says that an empty tree is also a binary search tree.