Function_Practice Question

Duration: 3 min

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Module outline

  1. About Course: About the Course
  2. Paper-2 | Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  3. Paper-2 | Databases / DBMS & SQL: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control
  4. Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  5. Paper-2 | Computer Networks & Security: 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 Access Technologies, Network Security
  6. 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
  7. 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
  8. Paper-2 | 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
  9. Paper-2 | Computer Organization & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  10. 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
  11. Paper-1 | General Awareness: Polity, Physics, Biology, Chemistry, Static General Knowledge, GK- Current Affairs, History, Geography, Indian Economy, Environment
  12. Paper-1 | Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Data Interpretation, Blood Relations, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Clock, Calendar, Cubes & Dices, Directions (Direction Test), Analogy, Seating Arrangements, Analytical Reasoning (Counting Figures Reasoning)
  13. Paper-1 | Quantitative Aptitude: Ratio and Proportion (Ratios), Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Speed Time and Distance, Average, Age Problems, Percentage, Profit and Loss, Time and Work, Pipe and Cistern, Simple Interest and Compound Interest, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Probability, Statistics, Arithmetic, Algebra
  14. Paper-1 | English: Vocabulary, 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), Sentence Construction, Cloze Test (Cloze Passage)
  15. Coal India Previous Year Paper:
  16. Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus
  17. Coal India Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a detailed walkthrough of a recursive function problem designed to test understanding of algorithmic logic. The specific task is to find the output of the function x when the input n is 6. The instructor, Sanchit Jain Sir, uses a whiteboard-style presentation to break down the pseudo-code. The code defines a function int x(int n) with a conditional check: if n is less than 3, it returns 1; otherwise, it returns the sum of x(n-1) called twice plus 1. The lecture focuses on tracing the execution path and calculating the final integer value through step-by-step evaluation.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the problem statement 'Find the output of the following pseudo code on n = 6?'. He writes the function definition int x(int n) and the logic if (n < 3) return 1; Else return x(n-1) + x(n-1) + 1;. He begins drawing a recursion tree in red ink. The root is x(6), which splits into x(5), x(5), and 1. He expands the tree downwards, showing x(5) splitting into x(4), x(4), and 1, continuing until x(2) is reached. He marks x(2) as the base case because 2 < 3, meaning it returns 1 immediately without further recursion.

  2. 2:00 – 2:46 02:00-02:46

    The instructor calculates the values starting from the base case x(2) = 1. He writes x(3) = 3 on the board, derived from 1 + 1 + 1. He then calculates x(4) = 7 using the formula 3 + 3 + 1. Following this pattern, he determines x(5) = 15 (since 7 + 7 + 1). Finally, he computes x(6) = 31 by adding 15 + 15 + 1. He circles the final result 31 in red ink. He briefly mentions the mathematical pattern 2^(n-1) - 1 to confirm the sequence 3, 7, 15, 31.

The lesson effectively demonstrates a standard technique for solving recursive problems: visualization via recursion trees and iterative evaluation. By breaking down the complex call x(6) into smaller sub-problems x(5), x(4), etc., the instructor shows how to manage the state of the recursion. The key takeaway is recognizing the base case n < 3 and applying the recurrence relation T(n) = 2*T(n-1) + 1 to find the closed-form solution or specific value. This approach helps students avoid common pitfalls like infinite loops or incorrect base case handling.

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