Post Order Traversal Of Binary Tree

Duration: 2 min

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Module outline

  1. English Comprehension/Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Vocabulary, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Subject Verb Agreement (Verb Noun Agreement), Tenses, Verb, Articles, Preposition, Conjunction, Pronoun, Noun, Adjectives, Adverb, Modals, Cloze Test (Cloze Passage), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  2. Logical Ability: Coding Decoding, Directions (Direction Test), Analogy, Inequality, Data Sufficiency, Series (Number and Letter Series) (Numerical Relations and Reasoning), Syllogisms, Seating Arrangements, Puzzle Solving (Puzzles), Blood Relations, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Data Arrangement, Venn Diagram, Calendar, Clock
  3. Quantitative Ability: Logarithm, Permutation and Combination, Probability, Profit and Loss, Speed Time and Distance, Mixture and Alligation, Partnership, Simple Interest and Compound Interest, Percentage, Ratio and Proportion (Ratios), Average, Time and Work, Pipe and Cistern, Number System, Divisibility Rules, HCF LCM, Algebra, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Age Problems, Data Interpretation, Sequence and Series (Series)
  4. Basic Analytical Ability: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Selection Decision Table (Decision Making)
  5. Computer Programming: Pseudo Codes, Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  6. DBMS (Computer Science): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Transaction Management, Concurrency Control, Database Security & Authorization
  7. SQL (Computer Science): SQL
  8. OS (Computer Science): Introduction to OS, Process Management, CPU Scheduling, Deadlock, Process Synchronization, Threads & Process Creation, Memory Management, Virtual Memory, File Management
  9. Computer Networks (Computer Science): Introduction to CN, Data Communication, 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, Application Layer, Hardware basics, Network Security
  10. Data Structures (Computer Science): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. OOPs (Computer Science): Object Oriented Programming (OOPS)
  12. Software Engineering (Computer Science): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. SVAR Conversational - Spoken English: Communication Assessment
  14. HR Interview: MR & HR Interview Preparation
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.

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