tree-traversal

This Skill provides both recursive and iterative DFS variants for inorder and preorder traversal, using explicit stacks to avoid recursion limits on deep trees, alongside parameter validation and logging hooks.

DFS explores binary tree branches vertically using stacks, while BFS level-order traversal visits nodes horizontally by tree depth using queues. Both mechanisms handle arbitrary trees but suit different hierarchical data processing needs.

Postorder traversal processes child nodes before parents, making it effective for binary search tree validation and tree serialization. The Skill includes parameter validation to ensure correct node ordering during these structural checks.

Yes, the tree traversal supports BFS level-order with zigzag adaptations for wide trees. This alternates the processing direction per level, optimizing hierarchical data traversal without requiring additional external dependencies.

Recursive DFS on deep binary trees risks stack overflow and lacks retry logic for error recovery. The Skill mitigates this by providing iterative variants with parameter validation and detailed complexity annotations for production use.