Implement a Basic Tree from scratch by following this step-by-step tutorial.
Given a Binary Tree consisting of** N** nodes, the task is to print its Mix Order Traversal.
Mix Order Traversal_ is a tree traversal technique, which involves any two of the existing traversal techniques like Inorder, Preorder and Postorder Traversal. Any two of them can be performed or alternate levels of given tree and a mix traversal can be obtained._
_Input: _N = 6
_Output: __7 4 5 1 3 6 _
_Inorder-Preorder Mix Traversal is applied to the given tree in the following order: _
_Inorder Traversal is applied at level 0 _
_Preorder Traversal is applied at level 1 _
Inorder Traversal at level 2.
_Output: __4 5 7 1 6 3 _
#data structures #recursion #tree #inorder traversal #postorder traversal #preorder traversal #tree traversals
A tree is a non-linear data structure — a collection of nodes connected by directed (or undirected) edges. Each node contains a **value **andthe connection between nodes is called edges. The top-most node is called root, a node without children is called leaf node. Nodes with same the same parent called siblings. The depth of a node is the number of edges from the root to the node and the height of a node is the number of edges from the node to the deepest leaf.
How can we visit every node in a tree? The common algorithms of traversing a tree are breadth-first search(BFS) and** depth-first search**(DFS).
With BFS we visit nodes level-by-level. We explore the breadth, i.e., full width of the tree at a given level, before going deeper.
Usually, we’ll encounter binary tree, so we implement the breadth-first search using binary tree in the following examples.
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