You don't need it. Think about it, you can just use a stack (or a recursive function.)
In order traversal is used.
A binary search tree is already ordered. An in order traversal will give you a sorted list of nodes.
Binary search requires that the list be in search key order.
There are many ways of checking for a complete binary tree. Here is one method:1. Do a level order traversal of the tree and store the data in an array2. If you encounter a nullnode, store a special flag value.3. Keep track of the last non-null node data stored in the array - lastvalue4. Now after the level order traversal, traverse this array up to the index lastvalue and check whether the flag value is encountered. If yes, then it is not a complete binary tree, otherwise it is a complete binary tree.
1. pre-order b-tree traversal. 2. in-order b-tree traversal. 3. post-order b-tree traversal
In order traversal is used.
A binary search tree is already ordered. An in order traversal will give you a sorted list of nodes.
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A binary tree variant that allows fast traversal: given a pointer to a node in a threaded tree, it is possible to cheaply find its in-order successor (and/or predecessor).
Binary search requires that the list be in search key order.
The only items suitable for a binary search are those which are in a sorted order.
There are many ways of checking for a complete binary tree. Here is one method:1. Do a level order traversal of the tree and store the data in an array2. If you encounter a nullnode, store a special flag value.3. Keep track of the last non-null node data stored in the array - lastvalue4. Now after the level order traversal, traverse this array up to the index lastvalue and check whether the flag value is encountered. If yes, then it is not a complete binary tree, otherwise it is a complete binary tree.
1. pre-order b-tree traversal. 2. in-order b-tree traversal. 3. post-order b-tree traversal
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).
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n log n - G.Parthiban, SRM
In-order traversal relates to non-empty binary trees which can be traversed in one of three ways: pre-order, in-order and post-order. The current node is always regarded as being the root of the traversal, and all operations occur recursively upon that root. Pre-order: 1. Visit the root. 2. Traverse the left sub-tree. 3. Traverse the right sub-tree. In-order: 1. Traverse the left sub-tree. 2. Visit the root. 3. Traverse the right sub-tree. Post-order: 1. Traverse the left sub-tree. 2. Traverse the right sub-tree. 3. Visit the root.