Depth-first Search Complexity

The video tutorial discusses the time and space complexity of Depth First Search (DFS) algorithms, focusing on preorder, inorder, and postorder traversals. It explains that the time complexity is O(n) due to the need to visit each node, while space complexity depends on the tree's depth, potentially reaching O(d) in the worst case. The tutorial also covers the concept of activation records in the call stack, emphasizing the impact of tree structure on space usage. Practical tips are provided for implementing DFS without unnecessary arrays, using print statements instead. The session concludes with a recap of key points.

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