Binary tree: Difference between revisions

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== tree vocabulary ==
== tree vocabulary ==
In addition to NORMAL tree vocabulary:
* root node
* root node
* parent node
* parent node
* child node
* child node
* leaf node
* leaf node
Binary Trees have special vocabulary:
* left-child
* right-child
* subtree


== Practical applications of a tree ==  
== Practical applications of a tree ==  

Revision as of 10:58, 9 December 2016

Programming basics[1]

In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child.[2]


Image of a tree[edit]

Binary tree.svg.png

tree vocabulary[edit]

In addition to NORMAL tree vocabulary:

  • root node
  • parent node
  • child node
  • leaf node

Binary Trees have special vocabulary:


  • left-child
  • right-child
  • subtree

Practical applications of a tree[edit]

  • Trees can be used to store data that has an inherent hierarchical structure. For example, an operating system may use a tree for directories, files and folders in its file management system.
  • They are dynamic, which means that it is easy to add and delete nodes.
  • They are easy to search and sort using standard traversal algorithms.
  • They can be used to process the syntax of statements in natural and programming languages so are commonly used when compiling programming code.

Binary Tree - video example[edit]

This video provides a basic introduction to binary trees.

Standards[edit]

  • Describe how trees operate logically (both binary and non-binary).
  • Define the terms: parent, left-child, right-child, subtree, root and leaf.
  • State the result of inorder, postorder and preorder tree traversal.
  • Sketch binary trees.

See Also[edit]

External Links[edit]

high level discussion of binary trees

References[edit]