Post Order Traversal Of Binary Tree

Duration: 2 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/data-structure-and-algorithms/tree/traversals-construction/asset-post-order-traversal-of-binary-tree after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture focuses on Post-order traversal for binary trees, defined by the sequence Left, Right, Root (L R Root). The instructor presents a slide detailing steps: check if null, recursively traverse left, recursively traverse right, display root data. A sample tree diagram is on the right with nodes A-I and root F. The slide lists the sequence: 'Post-order: A, C, E, D, B, H, I, G, F.' The instructor guides the viewer through the recursive process, tracing from root F to leaf A, then through subtrees. He emphasizes recursive function calls, explaining how traversal moves deep into left branches before processing the root.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the algorithm using a slide titled 'Post-order (L R Root)'. He explains four key steps: checking for null nodes, recursively calling the function for the left subtree, recursively calling it for the right subtree, and displaying root data. Visually, red arrows appear on the tree diagram to illustrate the path, starting from root F, moving left to B, then to A, and continuing through left subtree nodes C and E. The instructor verbally confirms the sequence as he traces the path, ensuring students understand the root is processed only after both subtrees are visited. The slide text 'Post-order: A, C, E, D, B, H, I, G, F' serves as the ground truth for the example.

  2. 2:00 – 2:13 02:00-02:13

    In the final segment, the instructor writes the final sequence on the screen: 'A C E D B H I G F'. He underlines this sequence to emphasize the result. Additionally, he writes 'Post(F)' and breaks it down into 'Post(B) Post(G) F' to visually represent the recursive structure. This written breakdown reinforces the concept that root node F is processed last, after the left subtree (rooted at B) and right subtree (rooted at G) have been fully traversed. The instructor concludes by confirming this matches the expected output shown at the top of the slide.

The lesson demonstrates Post-order traversal by combining theoretical steps with a practical example. The instructor uses a visual tree diagram and step-by-step tracing to clarify recursive logic, ensuring students grasp why the root is visited last. The final written sequence and the breakdown of 'Post(F)' solidify the understanding of the L-R-Root pattern.

Loading lesson…