Post Order Traversal Of Binary Tree

Duration: 2 min

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  1. About the Course: About the Course
  2. Section 1 | Language (Hindi): भाषा, लिपि, ध्वनि, वर्ण, अक्षर, स्वर, व्यंजन, मात्रा और संयुक्ताक्षर, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, विशेषण और क्रिया, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, संधि, समास, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, मुहावरे और लोकोक्तियाँ, अपठित गद्यांश और अपठित पद्यांश, Multi-Topic Content (Cross-Concept Material), वर्णमाला
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  6. Section 2 | Primary Maths & Reasoning: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Percentage, Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Mensuration and Geometry, Age Problems, Arithmetic, Powers and Exponents (Surds and Indices), Algebra, Probability, Trigonometry, Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence
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  12. Section 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Shortest Path Algos
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  14. Section 3 | Emerging Trends (AI, Societal Ethics & MS Office): Artificial Intelligence, Emerging Tech Trends, Society, Law & Ethics, MS Office Applications
  15. Section 3 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Maintenance and Configuration Management, Software Testing
  16. Section 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  17. Section 3 | OOPS, C++, JAVA, HTML: OOPS with C++, Java, HTML Basics, CSS
  18. Section 3 | Java: Java Fundamentals, Array, String, IO & References
  19. Section 3 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  20. Section 3 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  21. Section 3 | Multimedia: Multimedia
  22. BPSC Previous Year Papers:
  23. BPSC Full 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.

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