Preorder Treversal of Binary Tree

Duration: 5 min

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Module outline

  1. About Course: About the Course
  2. Paper 2 | Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
  3. Paper 2 | Computer Organization And Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Control Unit Design, Instr Formats & Modes, Programming the Basic Computer
  4. Paper 2 | Analog And Digital Communication: Introduction to Communication Systems & Random Signals, Analog Communication Systems, Information Theory & Digital Communication Fundamentals, Digital Modulation & Detection Techniques, Error Control, Synchronization & Multiple Access Techniques
  5. Paper 2 | Programming in C: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  6. Paper 2 | Data Structures And Programming: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  7. Paper 2 | Algorithms: Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  8. 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
  9. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS
  10. Paper 2 | Databases: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  11. Paper 2 | Information Systems and Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  12. Paper 2 | Computer Networks: 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
  13. Paper 2 | Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, Emerging Technologies, HTML Basics, JavaScript-Basics, CSS, XML, HTML5
  14. Paper 2 | Cyber Security And Emerging Technologies: Emerging Tech Trends
  15. Paper 2 | Cloud Technology: Cloud Computing
  16. Paper 2 | Probability and statistics: Probability, Statistics
  17. Paper-1 English: Vocabulary, Preposition, Articles, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Cloze Test (Cloze Passage), Sentence Construction
  18. Paper 1 General Mental Ability & Logical reasoning: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Percentage, Average, Powers and Exponents (Surds and Indices), Algebra, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Mensuration and Geometry, Mental Ability, Age Problems, Partnership, Arithmetic, Speed Mathematics and Basic Mathematics, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Venn Diagram, Analogy
  19. Paper-1 General Knowledge & Current Affairs: State Wise GK, History, Geography, GK- Current Affairs, Static General Knowledge
  20. Full Length Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture introduces the concept of binary tree traversal, defining it as the process of visiting each node in a tree data structure exactly once. The instructor contrasts tree traversal with linear data structures like linked lists and arrays, noting that trees allow for multiple traversal methods. The lesson categorizes these methods into depth-first and breadth-first orders, specifically highlighting in-order, pre-order, and post-order traversals. The second half of the video focuses on pre-order traversal, detailing the Root-Left-Right (RLR) algorithm. The instructor demonstrates this using a specific binary tree example, walking through the recursive steps and writing the resulting node sequence on the board to reinforce the concept.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled 'Traversal of binary tree'. The text defines traversal as 'The process of visiting (checking and/or updating) each node in a tree data structure, exactly once'. It explains that unlike linear structures like linked lists or arrays, trees can be traversed in multiple ways. The slide lists three common depth-first traversals: in-order, pre-order, and post-order. It also mentions hybrid schemes like 'iterative deepening depth-first search'. The instructor explains that steps can be done in any order, but if Left (L) is done before Right (R), it is called left-to-right traversal.

  2. 2:00 – 5:00 02:00-05:00

    The slide changes to 'Pre-order (Root L R)'. The text lists the pre-order sequence: F, B, A, D, C, E, G, I, H. The algorithm steps are displayed: check if the current node is empty, display the data part of the root, traverse the left subtree recursively, and traverse the right subtree recursively. The instructor draws a diagram on the board showing the recursive calls, starting with P(F) branching into P(B) and P(G). He writes the final sequence 'F B A D C E G I H' in red ink at the bottom of the slide to confirm the result of the traversal.

  3. 5:00 – 5:23 05:00-05:23

    The instructor concludes the explanation of the pre-order traversal example. The slide remains visible, showing the binary tree diagram on the right and the handwritten sequence 'F B A D C E G I H' in red at the bottom. The instructor is likely summarizing the recursive nature of the process or preparing to transition to the next topic, as the visual content remains static on the pre-order slide.

The lecture progresses from a theoretical definition of tree traversal to a practical application of pre-order traversal. By contrasting trees with linear structures and listing various traversal types, the instructor sets the context. The detailed breakdown of the pre-order algorithm, supported by a visual tree diagram and handwritten board work, provides a clear, step-by-step guide for students to understand how the Root-Left-Right order is applied recursively to generate a specific node sequence.

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