No. A leaf node is a node that has no child nodes. A null node is a node pointer that points to the null address (address zero). Since a leaf node has no children, its child nodes are null nodes.
No. A null node is a node pointer that holds the null value (zero). A leaf node is simply a node that has no children. Thus in a binary tree, a leaf node would hold two null nodes.
Induction: 1. A tree of one node has two NULL-pointers. 2. Whenever you add a node to a tree, you remove one NULL-pointer (from the parent of the new node), and add two (the child's of the new node) in the same time.
The number of nodes in any subtree is the number of nodes in its left subtree, plus the number of nodes in its right subtree, plus one, so you can use a recursive algorithm and start at the root.unsigned intbinarytree_count_recursive(const node *root){unsigned int count = 0;if (root != NULL) {count = 1 + binarytree_count_recursive(root->left)+ binarytree_count_recursive(root->right);}return count;}
Since a binary search tree is ordered to start with, to find the largest node simply traverse the tree from the root, choosing only the right node (assuming right is greater and left is less) until you reach a node with no right node. You will then be at the largest node.for (node=root; node!= NULL&&node->right != NULL; node=node->right);This loop will do this. There is no body because all the work is done in the control expressions.
int numNodes = 0; Node current = root; // if root is null, the number of nodes is 0 if(current != null) { // if root is not null, we have at least one node numNodes = 1; // count all nodes while(current .next != null) { ++numNodes; current = current.next; } }
Linked-lists implemented with sentinel nodes have no NULL links. A sentinel node is simply a node that represents the tail of the list and has no data (and therefore provides no storage). Sentinels greatly simplify linked list implementations because we guarantee the existence of at least one node because the sentinel always exists even when the list is empty.
In this representation, each node contains two pointers, one pointing to its parent (null in the case of root node) and the other pointing to its child node (null in the case of leaf nodes).
int countleaves(struct node* root){ if(root!=null) { countleaves(root->left); if(root->left==NULL&&root->right==NULL) { count++; } countleaves(root->right); } }
for (node=head; node!=null; node=node->next) printnode(node);
height and depth of a tree is equal... but height and depth of a node is not equal because... the height is calculated by traversing from leaf to the given node depth is calculated from traversal from root to the given node.....
Induction: 1. A tree of one node has two NULL-pointers. 2. Whenever you add a node to a tree, you remove one NULL-pointer (from the parent of the new node), and add two (the child's of the new node) in the same time.
THE POINT FROM WHERE THE LEAF ARISES IS KNOWN AS NODE. THE DISTANCE between 2 consequitive nodes is known as internode.. from a node leaf arises but from the internode no leaf arises internode is a part of stem as node is not but is a part of leaf
The number of nodes in any subtree is the number of nodes in its left subtree, plus the number of nodes in its right subtree, plus one, so you can use a recursive algorithm and start at the root.unsigned intbinarytree_count_recursive(const node *root){unsigned int count = 0;if (root != NULL) {count = 1 + binarytree_count_recursive(root->left)+ binarytree_count_recursive(root->right);}return count;}
Since a binary search tree is ordered to start with, to find the largest node simply traverse the tree from the root, choosing only the right node (assuming right is greater and left is less) until you reach a node with no right node. You will then be at the largest node.for (node=root; node!= NULL&&node->right != NULL; node=node->right);This loop will do this. There is no body because all the work is done in the control expressions.
A null tree.
Two
int numNodes = 0; Node current = root; // if root is null, the number of nodes is 0 if(current != null) { // if root is not null, we have at least one node numNodes = 1; // count all nodes while(current .next != null) { ++numNodes; current = current.next; } }
if the last node contains the address of head node instead of null then it is a circular linked llist...