Stack recursion Practice questions

Duration: 3 min

This video lesson is available to enrolled students.

Return to /learn/AMCAT-PREPARATION/data-structures/stack/recursion-stack/asset-stack-recursion-practice-questions after enrolling

Inside: a video lesson and guided study material.

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.

The video presents a computer science problem involving a recursive function named `fun(int x, int y)`. The instructor systematically breaks down the execution of the function by tracing each recursive step on a digital whiteboard. The function logic is defined with a base case `if (x == 0) return y;` and a recursive step `return fun(x - 1, x + y);`. The instructor starts by initializing the parameters `x=4` and `y=3`. He then demonstrates how the function calls itself with modified arguments, decrementing `x` by 1 and adding the current value of `x` to `y` in each step. This process continues until the base case is met. The final result is identified as 13, corresponding to option (A).

Chapters

  1. 0:00 – 2:00 00:00-02:00

    In this initial segment, the instructor introduces the problem statement and the function definition. He writes `fun(4, 3)` on the board and assigns the initial values `x=4` and `y=3`. He checks the condition `if (x == 0)`, which evaluates to false. Consequently, he proceeds to the recursive call `fun(x - 1, x + y)`. He writes down the next call `fun(3, 7)`, showing the calculation `4-1=3` and `4+3=7`. He continues this process, writing `fun(2, 10)` where `x` becomes 2 and `y` becomes `3+7=10`. The instructor then writes `fun(1, 12)`, updating `x` to 1 and `y` to `2+10=12`. The board fills with the sequence of function calls, illustrating the recursive nature of the code.

  2. 2:00 – 3:15 02:00-03:15

    In the final segment, the instructor completes the trace of the recursive function. He writes the next call `fun(0, 13)`, where `x` becomes 0 and `y` becomes `1+12=13`. At this point, the condition `if (x == 0)` evaluates to true. The instructor indicates that the function returns the value of `y`, which is 13. He circles the number 13 on the board to highlight the final result. He then writes `(13) Ans` and places a checkmark next to option (A) 13, confirming it as the correct answer.

The lesson effectively demonstrates the evaluation of a recursive function by manually tracing its execution stack. By breaking down the problem into discrete steps, the instructor clarifies how parameters change with each recursive call. The visual aid of writing out each call on the board helps students follow the logic, from the initial call `fun(4, 3)` down to the base case `fun(0, 13)`. This methodical approach ensures a clear understanding of how the final value is derived through successive additions and decrements.

Loading lesson…