Dequeue Operation On Queue

Duration: 5 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-3-data-structures/queue/basics-stack-mix/asset-dequeue-operation-on-queue after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
  5. Art of Teaching: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Classroom Management & Communication, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement, Professional Development & Ethics, Policies, Acts & Contemporary Issues, Curriculum & School Environment, Guidance, Counselling & Mental Health, Inclusive Education & Special Needs, Micro-Teaching & Teaching Skills, Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | 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
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | 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
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video features Sanchit Jain Sir from Knowledge Gate explaining the deletion operation in a linear queue data structure. The lecture begins with a visual representation of an 8-cell array and the function signature Q_del(Queue, N, F, R). The instructor systematically writes pseudocode to handle three distinct cases: checking for an empty queue (underflow), handling the deletion of the last remaining element, and the standard deletion process where the front pointer is incremented. The lesson uses a whiteboard demonstration with specific characters to visualize pointer movement.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with the title "Deletion" and a diagram of an 8-box array with indices 0 through 7. The instructor introduces the function Q_del(Queue, N, F, R), defining N as size, F as front, and R as rear. He begins writing the algorithm in red ink, starting with the condition if (F == -1). He explains that F equals -1 signifies an empty queue. The code then prints "underflow" and executes an exit statement. This initial segment establishes the boundary condition to prevent errors when deleting from an empty structure.

  2. 2:00 – 5:00 02:00-05:00

    The instructor continues the pseudocode by writing ITEM = Queue[F] to store the deleted value. He adds a check if (F == R), explaining that if front equals rear, only one element exists. In this case, he writes set F = -1 & R = -1 to reset the queue. Otherwise, he writes else F = F + 1 to move the front pointer. He demonstrates this on the array, placing 'a' at index 2 and 'e' at index 6. He draws arrows for F and R, crosses out 'a', and moves the F arrow to 'b' at index 3, visually confirming the pointer increment logic.

  3. 5:00 – 5:08 05:00-05:08

    The instructor completes the final line of the pseudocode, which is the else block F = F + 1. The screen now displays the full logic for the deletion function, including the empty check, the single element reset, and the pointer increment. The board shows the complete algorithm ready for implementation. The instructor pauses briefly, allowing the viewer to review the final state of the written code on the whiteboard.

The lecture provides a comprehensive breakdown of the deletion algorithm for a linear queue. It logically progresses from handling the empty queue edge case to the single-element edge case, and finally to the general case of pointer incrementation. The use of a visual array with indices 0-7 and specific characters like 'a' through 'e' effectively bridges the gap between abstract pseudocode and concrete memory manipulation. The instructor's step-by-step writing of the code ensures that students can follow the exact sequence of operations required to implement a deletion function correctly.

Loading lesson…