is a binary search tree where for each node, the height of the left and right subtrees can differ at most 1.
Binary AVL search tree is the order of insertion: 1,2,3,6,5,4
III. Project
Given an adjacency matrix
1- Check if the adjacency matrix represents a m-ary unrooted tree m>=2. Otherwise terminate.
2- Allow the user to choose a node as the root.
3- Convert the m-ary tree in the adjacency matrix to a binary tree in a binary tree data
structure taking the node chosen by the user as the root.
4- If the tree is not balanced, traverse the tree inorder and insert the traversed nodes in a
Balanced Binary search tree (AVL tree).
5- Traverse the final AVL tree in preorder, inorder and postorder fashions.
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Binary AVL search tree is the order of insertion: 1,2,3,6,5,4
Given an adjacency matrix
1- Check if the adjacency matrix represents a m-ary unrooted tree m>=2. Otherwise terminate.
2- Allow the user to choose a node as the root.
3- Convert the m-ary tree in the adjacency matrix to a binary tree in a binary tree data
structure taking the node chosen by the user as the root.
4- If the tree is not balanced, traverse the tree inorder and insert the traversed nodes in a
Balanced Binary search tree (AVL tree).
5- Traverse the final AVL tree in preorder, inorder and postorder fashions.
Explanation:
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