Advantages:
BST is fast in insertion and deletion etc when balanced.
Very efficient and its code is easier than link lists.
Disadvantages:
Shape of the tree depends upon order of insertion and it can be degenerated.
Searching takes long time.
The complexity of binary search tree : Search , Insertion and Deletion is O(h) . and the Height can be of O(n) ( if the tree is a skew tree). For Balanced Binary Trees , the Order is O(log n).
A complete binary tree is a binary tree in which every level, except possibly the last, is completely filled, and all nodes are as far left as possible.
yes, why not,
O(log n)At each step of insertion you are either going to the left child or the right child. In a balanced tree, this will effectively cut the number of possible comparisons in half each time.
Ne=N2+1Here Ne=no. of leaf nodesN2= no. of nodes of degree 2
no they are not same
To merge two binary search trees into a single binary search tree, you can perform an in-order traversal on each tree to extract their elements, combine the elements into a single sorted list, and then construct a new binary search tree from the sorted list. This process ensures that the resulting tree maintains the binary search tree property.
The complexity of binary search tree : Search , Insertion and Deletion is O(h) . and the Height can be of O(n) ( if the tree is a skew tree). For Balanced Binary Trees , the Order is O(log n).
By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.
self depend friend"s............
Yes, an AVL tree is a type of binary search tree (BST) that is balanced to ensure efficient searching and insertion operations.
A binary search tree is already ordered. An in order traversal will give you a sorted list of nodes.
The time complexity of searching a binary search tree is O(log n), where n is the number of nodes in the tree.
Binary trees are commonly used to implement binary search tree and binary heaps.
The height of a binary search tree is the maximum number of edges from the root node to a leaf node. It represents the longest path from the root to a leaf in the tree.
The time complexity for finding an element in a binary search tree is O(log n), where n is the number of nodes in the tree.
a tree which has atmost two nodes is called binary tree binary search tree is a binary tree which satisfies the following 1.every node in tree must be distinct 2.values in right subtree > value at root 3.values in left subtree < value at root 4.left,right subtrees must be binary search trees