Design and Analysis of Algorithms Question Paper With Answers

Design and Analysis of Algorithms Question Paper with Answers: Computer science or engineering students who study for hours but do not get desired marks in the Design and Analysis of Algorithms exam should turn to the Design and Analysis of Algorithms question paper and answers. It is an exceptional tool to prepare for your upcoming examination. Design and Analysis of Algorithms Question Paper with Answers are fundamental in strengthening students’ concepts.

The Design and Analysis of Algorithms Question Paper with Answers give students ample practice before they appear for their final exam. The Design and Analysis of Algorithms Question Paper with Answers are according to the updated syllabus. Students can find the updated version of the curriculum in this article to score better.  Aspirants can take advantage of the Design and Analysis of Algorithms Question Paper with Answers to excel in their field.  Here you will find an overview of this article.

Also, visit the Department Wise Lecture Notes for Preparation.

Introduction to Design and Analysis of Algorithms Question Paper With Answers

Algorithms analysis and design is an essential component of advanced technology. Usually, bachelor of engineering students find Design and Analysis of Algorithms as one of their subjects in their fifth semester.

You can obtain efficient algorithms from a set of steps involving calculation, data processing, and automated reasoning tasks to solve a given computational problem. It reflects the amount of time, memory, and other necessary resources that a computer science student may need to analyse the algorithms’ complexity.

The students should have a stronghold over the course prerequisite, which is C or C++ programming language, mathematics, Data, and file structure before they dive into their fifth semester.

B. Tech./CSE/BCA/MCA/M. Tech Design and Analysis of Algorithms Question Paper with Answers PDF Free Download

If you are finding it difficult to grasp the subject Design and Analysis of Algorithms, you first need to read the Algorithms’ Design and Analysis textbooks, notes, and other study materials. Students can attempt to give the Design and Analysis of Algorithms Question Papers with Answers to assess their preparation.

The study materials, notes, and Design And Analysis of Algorithms Question Paper With Answers that you find here will help you study systematically and improve your score drastically. You have free access to download Design And Analysis of Algorithms Question Paper With Answers from here.

If you do not know the answer to any specific question, you have the facility to study it from the given answers.  You can use this quick guide of the Design and Analysis of Algorithms Question Papers with Answers as your reference study material or notes to help you prepare for the examination.

Students will benefits extensively from the following study materials-

  • Notes for Analysis and Design of Algorithms
  • Analysis and Design Algorithms Previous Year Minor Question Paper
  • Analysis and Design Algorithms Previous Year Major Question Paper
  • Design and Analysis of Algorithm Notes PDF
  • Design and Analysis Book Download
  • Design and Analysis of Algorithm Question and Answer Download
  • Design and Analysis of Algorithm Question Paper Download
  • Design and Analysis of Algorithms PDF Notes

Design and Analysis of Algorithms Reference Books

Books contain an ocean of information.  The secret to your success lies in studying from Design and Analysis of Algorithms reference books and study materials. Professors and lecturers recommend the following Design and Analysis of Algorithms books and study materials to their students.

Here, you will find a compiled list of Design and Analysis of Algorithms books and study resources to aid you in your endeavour to obtain the highest marks in the examination.

  • Fundamental of Algorithms by Gills Brassard, Paul Bratley,  (PHI Publication)
  • Design and Analysis of Algorithms by Dave and Dave (Pearson Publication)
  • The Foundation of Algorithms by Shailesh R. Sathe (Penram Publication)
  • Introduction to Algorithms by Charles E. Leiserson, Thomas H. Cormen, Ronald L. Rivest and Clifford Stein (PHI Publication)
  • Introduction to Design and Analysis of Algorithms by Anany Levitin (Pearson Publication)

Design and Analysis of Algorithms Curriculum

You can enhance your preparation when you have crisp information about the latest Design and Analysis of Algorithms curriculum.  Most students are lagging because they are misinformed about the syllabus.   The course syllabus enables students to chalk out their study schedule and work towards achieving outstanding grades.

Here, students will find the updated unit-wise breakup of the Design and Analysis of Algorithms’ curriculum.  Furthermore, here you will find marks break-up to assist you in exam preparation.  It will help you in devising your study time-table.  Students need to give more time and attention to the topics with high marks weightage.

Sl. No. Unit Topic Marks Weightage
1 Basics of Algorithms and Mathematics
  • What is an algorithm?
  • Mathematics for Algorithmic Sets, Functions, and Relations
  • Vectors and Matrices
  • Linear Inequalities
  • Linear Equations
2
2 Analysis of Algorithm
  • Efficient Algorithm
  • Best and worst-case analysis
  • Average
  • Amortized Analysis
  • Analysing control statement
  • Asymptotic notations
  • Loop invariant and Algorithm correctness
  • Bubble sort
  • Sorting algorithms and analysis
  • Insertion sort
  • Selection sort
  • Heapsort
  • Shell sort
  • Sorting in linear time
  • Radix sort
  • Bucket sort
  • Counting sort
10
3 Divide and Conquer Algorithm
  • Introduction
  • Multiplying large integers problem
  • Exponential
  • Matrix Multiplication
  • Recurrence and different methods to solve recurrence
  • Problem-solving using divide and conquer Algorithm – Binary Search
  • Max-Min problem
  • Sorting (Merge sort, quick sort)
15
4 Dynamic Programming
  • Introduction
  • Problem-solving using dynamic programming- calculating the binomial coefficient
  • The principle of optimality
  • Making change problem
  • Assembly line-scheduling
  • All points shortest path
  • Knapsack problem’
  • Longest common subsequence
  • Matrix chain multiplication
20
5 Greedy Algorithm
  • General Characteristics of Greedy Algorithms
  • Problem solving
20
6 Exploring Graphs
  • Introduction
  • Traversing graphs
  • Undirected graph
  • Directed graph
  • Breadth-first search
  • Depth-first search
  • Connected components
  • Topological sort
10
7 Bound, Backtracking and Branch
  • Introduction
  • Knapsack problem
  • The eight queens problem
  • Minimax principle
  • Travelling salesman problem
5
8 String Matching
  • Introduction
  • The Rabin-Karp Algorithms
  • The naive string matching Algorithm
  • String matching with finite automata
  • The Knuth-Morris-Pratt Algorithm
8
9 Introduction to NP-Completeness
  • The class P and NP
  • NP-Completeness problem
  • Polynomial reduction
  • NP-Hard Problems
  • Hamiltonian problem
  • Travelling salesman problem
  • Approximation Algorithms
10

List of Design and Analysis of Algorithms Important Questions

Essential questions have a higher probability of coming in the exam.  It is always best to study the entire topic to do well in the examination.  However, a vast syllabus does not allow revision of every single question-answers.  Thus, computer science and engineering students should study the most important-last-minute questions to do well in the examination.

  1. What are the various steps to write an Algorithm?
  2. Define the following terms-
    1. Time Complexity
    2. Space Complexity
    3. Algorithm
  3. Mention an Algorithm that you will obtain when you add n natural numbers.  Also, mention the space the Algorithm needs.
  4. What steps do you need to take to design an Algorithm?
  5. Design an Algorithm with illustration for the following purpose –
    (i) Element sorting.
    (ii) Searching for n number factorial.
  6. Using Euclid’s Algorithm, evaluate an algorithm for calculating gcd(m,n).
  7. How will you convert a binary number to a decimal number?
  8. Describe the various Algorithms you can use to find the prime numbers.  Also, mention which is the most efficient and simplest Algorithm.
  9. Which problems can you solve using Algorithms?
  10. How can you measure the input size of an Algorithm?
  11. Define basic operation in context to adding two n by n matrices with an example.
  12. Estimate the recurrence relations of the followings-
    (i) x (n) =  x (n/3) + 1 for n > 1, x (1) = 1 (solve for n = 3k)
    (ii) x(n) = x (n-1) + 5 for n > 1
  13. What is the difference between Best, Average, and Worst-case efficiency?
  14. Explain the concepts of asymptotic notations and its elements.
  15. What is Big ’Oh’ notation?
  16. State the common technique that asserts algorithm correctness.
  17. Map out the growth order and compare n! and 2n.

FAQs on Design and Analysis of Algorithms Question Paper With Answers

Question 1.
What is Algorithms’ Design and Analysis?

Answer:
In the world of computers and engineering, Design and Analysis of Algorithm is the procedure to solve computational complexity, which revolves around time, memory, and other inputs.

Question 2.
Name a few of the best and recommended books for Design and Analysis Algorithms?

Answer:
When students study for the best books, they indeed excel in the subject.  The list of best and highly recommended books Design and Analysis Algorithms are as follows-

  • Introduction to Algorithms
  • Introduction to Design and Analysis of Algorithms
  • Fundamental of Algorithms
  • Design and Analysis of Algorithms
  • Foundation of Algorithms

Question 3.
Is Design and Analysis of Algorithms a complex subject?

Answer:
Design and Analysis of Algorithms can be an easy subject if students study from the correct reference books, study materials, and solve question papers with answers.  Experts recommend that students should prepare for their exam the following study materials-

  • Analysis and Design Algorithms Previous Year Minor Question Paper
  • Analysis and Design Algorithms Previous Year Major Question Paper
  • Design and Analysis of Algorithm Notes PDF

Question 4.
How are Design and Analysis of Algorithms significant in the computational complexity?

Answer:
Design and Analysis of Algorithms are a crucial component of engineering and computer science courses.

  • It helps students to imbibe problem-solving skills.
  • Design and Analysis of Algorithms are vital in developing analytical skills.
  • Students become proficient in programming.
  • Students master computational problems.

Conclusion

If at any point, students have doubts or are not confident about the answers, they can always refer to the Design and Analysis of Algorithms Question Papers with Answers.  The Design and Analysis of Algorithms Question Papers with Answers is an excellent technique in the engineering students’ hands to obtain outstanding results.

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