A recap of the fundamental concepts of tree data structures.
Unlike linear structures like arrays, trees excel at representing one-to-many relationships, such as file systems or organizational charts.
A tree's height determines its efficiency. Balanced trees offer fast O(log n) operations, while skewed trees degrade to a slow O(n).
Systematically visiting every node is crucial. The main types are Preorder, Inorder, and Postorder, each with unique applications.
Expression Trees are a classic example, perfectly demonstrating how a tree structure can simplify complex problems like parsing and evaluation.
Congratulations! You now have a solid foundation in one of the most important data structures in computer science.