Full vs Complete Binary Tree
Dear Sciaku Learner you are not logged in or not enrolled in this course.Please Click on login or enroll now button.
If you have any query feel free to chat us!
Happy Coding! Happy Learning!
Lecture 273:- Full vs Complete Binary Tree
A full binary tree and a complete binary tree are two different types of binary trees, each with its own specific characteristics:
- Full Binary Tree:
- In a full binary tree, every node has either zero children (a leaf node) or exactly two children.
- In other words, every node in a full binary tree has either two children or no children at all.
- There are no nodes with only one child in a full binary tree.
- Full binary trees are also called proper binary trees.
- Full binary trees have a special property that the number of leaf nodes is always one more than the number of internal nodes.
- Complete Binary Tree:
- In a complete binary tree, all levels of the tree are filled except possibly the last level, and the last level is filled from left to right.
- In other words, all nodes at levels except the last level are completely filled, and the nodes at the last level are filled from left to right.
- If there are any gaps in the last level of a complete binary tree, they will only occur at the rightmost positions.
- Complete binary trees are not necessarily full binary trees, as some nodes at the last level may have only one child.
Here's an example to illustrate the difference:
sqlCopy code
Full Binary Tree: 1 / \ 2 3 / \ 4 5 Complete Binary Tree: 1 / \ 2 3 / \ \ 4 5 6In the full binary tree, every node either has two children or no children, and there are no nodes with only one child. In the complete binary tree, all levels except the last level are completely filled, and nodes are filled from left to right on the last level.
It's important to note that the terms "full" and "complete" are specific to binary trees and have different definitions. A full binary tree is a specific type of binary tree with no nodes having only one child, while a complete binary tree is a broader concept that refers to the completeness of levels in the tree.
- 1. Arrays Basics
- 2. Practice Arrays Basics
- 3. Practice Structures
- 4. Practice Pointers
- 5. Reference in C++
- 6. Practice Reference
- 7. Pointer to Structure
- 8. Practice Pointer to Structure
- 9. Functions
- 10. Practice Functions
- 11. Parameter Passing Methods
- 12. Practice Parameter Passing Methods
- 13. Array as Parameter
- 14. Practice Array as Parameter
- 15. Practice Structure as Parameter
- 16. Converting a C program to a C++ class
- 17. Practice Monolithic Program
- 18. Practice Modular Program
- 19. Practice Structure and Functions
- 20. Practice Object-Oriented Program
- 21. Practice Cpp Class
- 22. Template classes
- 23. Practice Template Class
- 1. How Recursion Works ( Tracing )
- 2. Generalising Recursion
- 3. How Recursion uses Stack
- 4. Recurrence Relation - Time Complexity of Recursion
- 5. Lets Code Recursion
- 6. Static and Global Variables in Recursion
- 7. Let's Code Static and Global in Recursion
- 8. Tail Recursion
- 9. Head Recursion
- 10. Tree Recursion
- 11. Indirect Recursion
- 12. Let's Code Indirect Recursion
- 13. Nested Recursion
- 14. Let's Code Nested Recursion
- 15. Sum of Natural Number using Recursion
- 16. Let's Code Sum of N using Recursion
- 17. Factorial using Recursion
- 18. Let's Code Factorial using Recursion
- 19. Let's Code Power Recursion
- 20. Taylor Series using Recursion
- 21. Let's Code Taylor Series using Recursion
- 22. Taylor Series using Horner's Rule
- 23. Let's Code Taylor Series Horner's Rule-Recursion
- 24. Let's Code Fibonacci
- 25. nCr using Recursion
- 26. Let's Code nCr using Recursion
- 27. Tower of Hanoi Problem
- 28. Let's Code Tower of Hanoi
- 29. Quiz 1 Solutions
- 1. Introduction to Array
- 2. Declarations of Array
- 3. Demo - Array Declaration
- 4. Static vs Dynamic Arrays
- 5. Demo - Static vs Dynamic Array
- 6. How to Increase Array Size
- 7. Demo - Increasing Array Size
- 8. 2D Arrays
- 9. Array Representation by Compiler
- 10. Row Major Formula for 2D Arrays
- 11. Column Major Formula for 2D Arrays
- 12. Formulas for nD Arrays
- 13. Formulas for 3D Arrays
- 14. Solutions for Quiz 2
- 1. Introduction to Strings
- 2. Finding Length of a String
- 3. Changing Case of a String
- 4. Counting Words and Vowels in a String
- 5. Validating a String
- 6. Reversing a String
- 7. Comparing Strings and Checking Palindrome
- 8. Finding Duplicates in a String
- 9. Finding Duplicates in a String using Bitwise Operations
- 10. Checking if 2 Strings are Anagram distinct letters
- 1. Section Introduction
- 2. Let's Code Diagonal Matrix
- 3. C++ class for Diagonal Matrix
- 4. Let's Code C++ class for Diagonal matrix
- 5. Lower Triangular Matrix Row-Major Mapping
- 6. Lower Triangular Matrix Column-Major Mapping
- 7. Let's Code Lower Triangular Matrix in C
- 8. Upper Triangular Matrix Row-Major Mapping
- 9. Symmetric Matrix
- 10. Tri-Diagonal and Tri-Band Matrix
- 11. Toeplitz Matrix
- 12. Menu Driven Program for Matrices
- 13. Menu Driven Program for Matrices using Functions
- 1. Why we need Dynamic Data Structure Linked List
- 2. About Linked List
- 3. More About Linked List
- 4. Display Linked List
- 5. Let's Code Display for Linked List
- 6. Recursive Display of Linked List
- 7. Let's Code Recursive Display for Linked List
- 8. Sum of All Elements in a Linked List
- 9. Let's Code Count and Sum
- 10. Maximum Element in a Linked List
- 11. Searching in a Linked List
- 12. Improve Searching in Linked List
- 13. Let's Code Searching in Linked List
- 14. Inserting in a Linked List
- 15. Let's Code Insert for Linked List
- 16. Creating a Linked List using Insert
- 17. Creating a Linked List by Inserting at List
- 18. Inserting in a Sorted Linked List
- 19. Let's Code Insert in Sorted Linked List
- 20. Deleting from Linked List
- 21. Let's Code Delete on Linked List
- 22. Check if a Linked List is Sorted
- 23. Let's Code to check if Linked List is Sorted
- 24. Remove Duplicates from Sorted Link List
- 25. Let's Code to Remove Duplicates from Sorted Linked List
- 26. Let's Code Reversing a Linked List
- 27. Concatenating 2 Linked Lists
- 28. Merging 2 Linked Lists
- 29. Let's Code to Concatenate and Merge Linked Lists
- 30. Check for LOOP in Linked List
- 31. Let's Code to Check LOOP
- 32. Circular Linked List
- 33. Let’s Code Circular Linked List
- 34. Inserting in a Circular Linked List
- 35. Let's Code Insert for a Circular Linked List
- 36. Insert In A Doubly Linked List
- 37. Let's Code Insert for Doubly Linked List
- 38. Deleting from Doubly Linked List
- 39. Let's Code Delete for Doubly Linked List
- 40. Reverse a Doubly Linked List
- 41. Let's Code Reverse for Doubly Linked List
- 42. Circular Doubly Linked List
- 43. Comparison of Linked List
- 44. Comparison of Array with Linked List
- 45. Student Challenge Finding Middle Element of a Linked List
- 46. Student Challenge Finding Intersecting point of two Linked List
- 1. Stack using Array
- 2. Let's Code Stack using Array
- 3. Stack using Linked List
- 4. Stack Operations using Linked List
- 5. Let's Code Stack using Linked List
- 6. Let's Code C++ class for Stack using Linked List
- 7. Parenthesis Matching
- 8. Program for Parenthesis Matching
- 9. Let's Code Parenthesis Matching
- 10. Infix to Postfix Conversion
- 11. Associativity and Unary Operators
- 12. Infix to Postfix using Stack Method
- 13. Let's Code Infix to Postfix Conversion
- 14. Student Challenge Infix to Postfix with Associativity and Parenthesis
- 15. Evaluation of Postfix Expression
- 16. Program for Evaluation of Postfix
- 1. Queue Adt
- 2. Queue using Two Pointers
- 3. Implementing Queue using Array
- 4. Let's Code Queue using Array
- 5. Let's Code Queue in C++
- 6. Circular Queue
- 7. Let's Code Circular Queue
- 8. Queue using Linked List
- 9. Let's Code Queue using Linked List
- 10. Double Ended Queue DEQUEUE
- 11. Queue using 2 Stacks
- 1. Trees Terminology
- 2. Number of Binary Trees using N Nodes
- 3. Height vs Nodes in Binary Tree
- 4. Internal Nodes vs External Nodes in Binary Tree
- 5. Strict Binary Tree
- 6. Height vs Node of Strict Binary Tree
- 7. Internal vs External Nodes of Strict Binary Tree
- 8. n-ary Trees
- 9. Analysis of n-Ary Trees
- 10. Representation of Binary Tree
- 11. Linked Representation of Binary Tree
- 12. Full vs Complete Binary Tree
- 13. Strict vs Complete Binary Tree
- 14. Binary Tree Traversals
- 15. Binary Tree Traversal Easy Method 2
- 16. Binary Tree Traversal Easy Method 3
- 17. Creating Binary Tree
- 18. Program to Create Binary Tree
- 19. Let's Code Creating Binary Tree
- 20. Let's Code Creating Binary Tree in C++
- 21. Preorder Tree Traversal
- 22. Iterative Preorder
- 23. Iterative Inorder
- 24. Let's Code Iterative Traversals
- 25. Level Order Traversal
- 26. Let's Code Level Order Traversal
- 27. Can we Generate Tree from Traversals
- 28. Generating Tree from Traversals
- 29. Height and Count of Binary Tree
- 30. Let's Code Height and Count
- 31. Student Challenge Count Leaf Nodes Of Binary Tree
- 1. Criteria used for Analysing Sorts
- 2. Bubble Sort
- 3. Let's Code Bubble Sort
- 4. Insertion Sort
- 5. Program for Insertion Sort
- 6. Analysis of Insertion Sort
- 7. Let's Code Insertion Sort
- 8. Comparing Bubble and Insertion Sort
- 9. Selection Sort
- 10. Program for Selection Sort
- 11. Analysis of Selection Sort
- 12. Let's Code Selection Sort
- 13. Idea behind Quick Sort
- 14. Quick Sort
- 15. Analysis of Quick Sort
- 16. Analysis of Quick Sort Continued
- 17. Let's Code Quick Sort
- 18. Merging
- 19. Iterative Merge Sort
- 20. Let's Code Iterative Merge Sort
- 21. Recursive Merge Sort
- 22. Let's Code Recursive Merge Sort
- 23. Count Sort
- 24. Let's Code Count Sort
- 25. Radix Sort
- 26. Bin Bucket Sort
- 27. Shell Sort
- 1. Introduction to Graphs
- 2. Representation of Undirected Graph
- 3. Representation of Directed Graphs
- 4. Breadth First Search
- 5. Program for BFS
- 6. Depth First Search
- 7. Program for DFS
- 8. Let's Code BFS & DFS
- 9. Prim's Minimum Cost Spanning Tree
- 10. Prim's Program
- 11. Let's Code Prim's using
- 12. Kruskal's Minimum Cost Spanning Tree
- 13. Disjoint Subsets
- 14. Kruskal's Program
- 15. Let's Code Kruskla's Program
0 Comments
Start the conversation!
Be the first to share your thoughts
Frequently Asked Questions About Sciaku Courses & Services
Quick answers to common questions about our courses, quizzes, and learning platform
How do I register on Sciaku.com?
Course Related 1 min read
How can I enroll in a course on Sciaku.com?
Course Related 1 min read
Are there free courses available on Sciaku.com?
Course Related 1 min read
How do I purchase a paid course on Sciaku.com?
Course Related 1 min read
What payment methods are accepted on Sciaku.com?
Course Related 1 min read
How will I access the course content after purchasing a course?
Course Related 1 min read
How long do I have access to a purchased course on Sciaku.com?
Course Related 1 min read
How do I contact the admin for assistance or support?
Course Related 1 min read
Can I get a refund for a course I've purchased?
Course Related 1 min read
How does the admin grant access to a course after payment?
Course Related 1 min read
Didn't find what you're looking for?
Contact Support