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  Computing Notes
  => 1 Introduction To Computing
  => 1.1 Computer Hardware
  => 1.2 Computer Software
  => 1.3 The Human-Computer Interface
  => 1.4 Business Information Systems
  => 1.5 Batch Processing
  => 2 Word Processing
  => 2.1 Introduction
  => 2.2 Editing Facilities
  => 2.3 Bullets And Numbering
  => 2.4 Layout Facilities
  => 2.5 Headers And Footers
  => 2.6 Style Controls
  => 2.7 Spelling And Grammar Checking
  => 2.8 Inserting Columns
  => 2.9 Borders And Shading
  => 2.10 Tables
  => 2.11 Inserting Graphics
  => 2.12 Mail Merging
  => 2.13 Macros
  => 3 Programming In QuickBASIC
  => 3.1 Introduction
  => 3.2 Variables, Input And Output
  => 3.3 Arithmetic Operators
  => 3.4 Iteration
  => 3.5 Selection
  => 3.6 Functions
  => 3.7 Subprograms
  => 3.8 Recursion
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  => 3.10 Program Structure
  => 3.11 Jackson Structure Diagrams
  => 3.12 String Processing
  => 4 Data Representation
  => 4.1 Different Computer Codes
  => 4.2 Binary Integers
  => 4.3 Higher Number Bases
  => 4.4 Graphics, Sounds And Other Interpretations
  => 4.5 Fixed Point Binary Numbers
  => 4.6 Floating Point Binary Numbers
  => 4.7 Range And Accuracy
  => 5 Spreadsheets
  => 5.1 Introduction
  => 5.2 General Features
  => 5.3 "What If" Calculations
  => 5.4 Changing The Workbook's Appearance
  => 5.5 Relative And Absolute Reference
  => 5.6 Sorting And Filters
  => 5.7 Charts
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  => 5.9 The IF Function
  => 5.10 Goal Seeker
  => 5.11 Solver
  => 5.12 Macros
  => 6 Files
  => 6.1 File Concepts
  => 6.2 Serial & Sequential Files
  => 6.3 Indexed Sequential Files
  => 6.4 Random Access Files
  => 6.5 Overview of File Processing
  => 7 Standard Algorithms
  => 7.1 Linear Searches
  => 7.2 Binary Search
  => 7.3 Internal Sorting
  => 7.4 External Sorting
  => 8 Legal Issues And Data Security
  => 8.1 The Computer Missuse Act 1990
  => 8.2 The Data Protection Act 1984
  => 8.3 Computer Fraud
  => 8.4 Software Copyright
  => 8.5 Viruses And Trojans
  => 8.6 Security Of Data
  => 8.7 Data Integrity
  => 9 Databases
  => 9.1 Flat-file Databases
  => 9.2 Introduction To Relational Databases
  => 9.3 The Aims Of Database Normalisation
  => 9.4 Security And Integrity Issues
  => 9.5 Database Management
  => 10 Data Structures
  => 10.1 Introduction
  => 10.2 Linear Lists
  => 10.3 Linked Lists
  => 10.4 Queues
  => 10.5 Stacks
  => 10.6 Binary Trees
  => 11 Systems Development
  => 11.1 Introduction
  => 11.2 Analysis
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  => 12 Peripherals
  => 12.1 Input Devices
  => 12.2 Output Devices
  => 12.3 Storage Devices
  => 13 Computer Architecture
  => 13.1 The Processor And Memory
  => 13.2 The Fetch-Execute Cycle
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  => 14 Translation
  => 14.1 Interpreters
  => 14.2 Compilers
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  => 15.1 Operating System Functions
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  => 16.1 High And Low Level Languages
  => 16.2 Language Classification
  => 16.3 Language Generations
  => 16.4 Logic Programming
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  => 17 Computers & Communication
  => 17.1 Data Transmission
  => 17.2 Local Area Networks
  => 17.3 Wide Area Networks
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INDIA
10.6 Binary Trees
Section 10.6

10 Data Structures

10.6 Binary Trees

A tree is a dynamic data structure with hieracally organised nodes.

  • There is a root node at the beginning of the tree structure.
  • Every node except the root node has one parent.
  • Childless nodes are called leaf nodes or terminal nodes.

Every tre has only one root, but each node in the tree can be regarded as the root of a sub-tree.

A binary tree is a special type of tree. Each parent can have no more than children.

Example - Decoding Morse Code

Starting from the root move right if "-" or left if it is a ".".

10.6.1 Constructing A Binary Search Tree

A search tree is an application of a binary tree. It allows the tree to be searched.

We can store a list of names (or any other data) in a binary tree.

We are given a list of names in no particular order.

Example

Legg, Charlesworth, Illman, Hawthorne, Todd, Youngman, Jones, Ravage

Then to create a binary search tree that can be searched we:

  • Place the first item in the root.
  • Insert the items in the order that they are given.
  • The item is added after the left branch if it comes before the previous node in the alphabetic or numeric sequence.
  • or the item is added after the right branch if it comes after the last node in the alphabetic or numeric sequence.

10.6.2 Traversing A Binary Search Tree

One important use of binary search trees is to rapidly retrieve a single data item.

All the data items can be extracted in a number of different sequences.

The traversal algorithms (that extract data in these different sequences) are recursive.

Traversal Algorithms

Preorder Traversal

  • Start at the root.
  • Traverse the left-hand subtree.
  • Traverse the right-hand subtree.

The nodes are visited in the order:

D - B - A - C - F - E - G

Inorder Traversal

  • Traverse the left-hand subtree.
  • Visit the root.
  • Traverse the right-hand subtree.

The nodes are visited in the order:

A - B - C - D - E - F - G

Postorder Traversal

  • Traverse the left-hand subtree.
  • Traverse the right-hand subtree.
  • Return to the root.

The nodes are visited in the order:

A - C - B - E - G - F - D

10.6.3 Implementation Of Binary Search Trees Using Arrays

Binary trees can be implemented using left and right pointers at each node.

Left Child Node Index Value Right Child Node Index
2 Legg 5
0 Charlesworth 3
4 Illman 7
0 Hawthorne 0
8 Todd 6
0 Youngman 0
6 Jones 0
0 Ravage 0

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