This section is dedicated to the traversal algorithms on LeetCode, a popular online platform for coding practice. Traversal algorithms are essential in computer science for navigating through data structures like trees and graphs.

Common Traversal Algorithms

  • Pre-order Traversal: Visit the root node first, then traverse the left subtree, and finally traverse the right subtree.
  • In-order Traversal: Traverse the left subtree, visit the root node, and then traverse the right subtree.
  • Post-order Traversal: Traverse the left subtree, traverse the right subtree, and visit the root node last.
  • Breadth-first Traversal (Level-order Traversal): Visit all nodes at the current level before moving on to the next level.
  • Depth-first Traversal: Explore as far as possible along each branch before backtracking.

Example

Here's a simple tree structure for demonstration:

    A
   / \
  B   C
 / \   \
D   E   F

Pre-order Traversal: A, B, D, E, C, F

In-order Traversal: D, B, E, A, F, C

Post-order Traversal: D, E, B, F, C, A

Breadth-first Traversal: A, B, C, D, E, F

Depth-first Traversal: A, B, D, E, C, F

Resources

For more detailed information and practice problems, check out our Traversal Algorithms Tutorial.

Image

Here's a visual representation of a binary tree:

binary_tree