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Programming Data structures
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Visiting a tree: pre, in and post order

Build a binary search tree of seven numbers and walk it four ways: in-order, pre-order, post-order and level by level. See four different orders of the same numbers, why in-order comes out sorted, and how a queue walks the tree row by row.

Core concept

A traversal visits every node of a tree once; pre-order visits a node before its children, in-order between its left and right children, post-order after them, and level order row by row with a queue

Topic: Data structures

To print or copy a tree, a program has to visit every node once, and there is more than one way to do it. Each way is a small recursive rule. Pre-order visits the node first, then its left side, then its right side: the root comes first, which is the order you would use to copy the tree. In-order visits the left side, then the node, then the right side: in a binary: Counting with only two digits, 0 and 1. Computers store everything this way. All key words search tree that prints the numbers from smallest to largest. Post-order visits the left side, then the right side, then the node last: children always come before their parent, which is the order you would use to delete a tree safely. Level order is different: it uses a queue to visit the tree row by row, from the root downwards, left to right.

Key words explained

What you will learn

  • Walk a binary tree in pre-order, in-order and post-order.
  • Explain why an in-order walk of a binary search tree is sorted.
  • Use a queue to walk a tree level by level.
  • Predict the order of a walk before running it.

Before you start

  • Know what a binary search tree is (smaller numbers left, bigger right).

Materials

  • Paper to draw the tree and number the visits

Equipment

  • None

Procedure

  1. Run the in-order walk and read the output.
  2. Run the pre-order and post-order walks of the same tree.
  3. Run the level-order walk and watch the queue.
  4. Answer the practice challenges.
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