A degenerate binary tree is one where most or all of the nodes contain only one sub node. It is unbalanced and, in the worst case, performance degrades to that of a linked list. If your add node function does not handle rebalancing, then you can easily construct a degenerate tree by feeding it data that is already sorted.
By using Depth First Search or Breadth First search Tree traversal algorithm we can print data in Binary search tree.
A binary search tree is already ordered. An in order traversal will give you a sorted list of nodes.
Yes because there is no real practical use for a binary tree other than something to teach in computer science classes. A binary tree is not used in the real world, a "B tree" is.
A strictly binary tree is one where every node other than the leaves has exactly 2 child nodes. Such trees are also known as 2-trees or full binary trees. An extended binary tree is a tree that has been transformed into a full binary tree. This transformation is achieved by inserting special "external" nodes such that every "internal" node has exactly two children.
A tree doesn't do anything so it has no speed...
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.
Yes, an AVL tree is a type of binary search tree (BST) that is balanced to ensure efficient searching and insertion operations.
self depend friend"s............
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.
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
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.