Tree traversal Practice Question

Duration: 2 min

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Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): 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, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment focuses on solving a binary tree traversal problem commonly found in computer science exams. The instructor presents a specific question asking for the post-order traversal given the in-order sequence "d b e a f c g" and the pre-order sequence "a b d e c f g". He begins by identifying the root of the tree from the first element of the pre-order traversal, which is 'a'. He then locates 'a' in the in-order sequence to divide the tree into left and right subtrees. The left subtree contains nodes "d b e" and the right subtree contains "f c g". He proceeds to recursively apply this logic to construct the full tree structure on the whiteboard. Finally, he performs a post-order traversal (Left-Right-Root) on the constructed tree to determine the final sequence, writing it down for verification against the multiple-choice options. He carefully checks each node's position to ensure the traversal order is correct.

Chapters

  1. 0:00 – 1:36 00:00-01:36

    The video opens with the problem statement displayed on screen, showing in-order "d b e a f c g" and pre-order "a b d e c f g" sequences. The instructor identifies 'a' as the root node from the pre-order list and marks it in the in-order list to split nodes into left "d b e" and right "f c g" groups. He explains that 'b' is the root of the left subtree and 'c' is the root of the right subtree. He draws the tree structure on the whiteboard, placing 'a' at the top with 'b' and 'c' as children, and fills in leaves 'd', 'e', 'f', and 'g'. Finally, he writes the post-order sequence "d e b f g c a" at the bottom and underlines option (d), noting a discrepancy between his written result and the printed options.

The video effectively demonstrates the recursive algorithm for reconstructing a binary tree from its traversals. By alternating between pre-order (to find roots) and in-order (to define subtrees), one can uniquely determine the tree structure. The final post-order traversal is simply the reverse of the construction process, visiting children before parents. This method is crucial for understanding tree data structures and their properties in computer science exams, highlighting the relationship between different traversal orders. It shows how a single tree can be represented by multiple sequences.

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