How Tree Traversal Works

 







Tree traversal means visiting each node of the tree. The tree is a non-linear data structure, and thus its traversal is distinct from other linear data structures. There's simply one way to crash

 each node/ factor in linear data structures, i.e. starting from the first value and crossing in a linear arrangement. Still, in tree data structures, there are many practices to traverse it. 

 

 How it works 


The traversal it'll ensure that we derive the details of it through an optical appeal of the structure of a tree and pick up a more understanding of the other ways of tree traversal. In the intro we reasoned that trees are a structure where there's one root node and that node gives drive to youngster nodes and each youngster node can either be closing there or form added sub trees. Now a traversal means that each of the nodes in the tree has to be called and the traversal may rise if one would need to find, for example, the most or minimum in a tree- based data structure. There are different usage cases as well like changing the sum of all rudiments in the tree and so on. To achieve the task assigned, each of the knots in the tree needs to be visited and needed operations need to be accomplished as per the usage case. 

 

 3 types of traversals that can be enforced for a tree data structure 


Inorder traversal 

 

 In the case of binary search trees (BST), Inorder traversal gives nodes in non-decreasing arrangement. To get nodes of BST in non-increasing order, a variation of Inorder traversal where Inorder traversal is reversed can be applied. 


Preorder traversal 

 

 Preorder traversal is utilized to produce a dupe of the tree. Preorder traversal is also utilized to learn prefix expressions on an expression tree. 


Postorder traversal 

 Postorder traversal is used to cancel the tree.




Conclusion

Here , we learned about how tree traversal python works and types of traversal.


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