Binary tree: Difference between revisions

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* They can be used to process the syntax of statements in natural and programming languages so are commonly used when compiling programming code.
* They can be used to process the syntax of statements in natural and programming languages so are commonly used when compiling programming code.


== Tree - video example ==  
== Binary Tree - video example ==  


[https://www.youtube.com/watch?v=qH6yxkw0u78 This video provides a basic introduction to trees. It also summarizes, very nicely, other data structures.] Please keep in mind the example at the beginning is not a [[binary tree]], but binary trees are discussed later.  Ignore the discussion about cousins and uncles. It's ridiculous. But the rest of the video is really good.
[https://www.youtube.com/watch?v=H5JubkIy_p8 This video provides a basic introduction to binary trees.]


== Standards ==  
== Standards ==  

Revision as of 16:14, 5 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]

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

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]