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IGNOU MCS 211 SOLVED ASSIGNMENT 2025

IGNOU MCS 211 SOLVED ASSIGNMENT 2025


IGNOU MCS 211 Solved Assignment 2025
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IGNOU MCS 211 Solved Assignment 2025

This is latest Solved Assignment of MCS 211 of MCA-NEW . 

  • Latest 2025 Solved Assignment
  • Fully Solved MCS 211 2025 Assignment
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  • MCS 211 ( Design and Analysis of Algorithm )
  • Design and Analysis of Algorithm 2025 Solved Assignment
  • 2025 New Assignment

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Last Date of Submission of IGNOU MCS-211 (MCA-NEW) 2025 Assignment is for January 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).
Semester Wise
January 2025 Session:
30th March, 2025 (for June 2025 Term End Exam).
July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).

Title NameIGNOU MCS 211 Solved Assignment 2025
TypeSoft Copy (E-Assignment) .pdf
UniversityIGNOU
DegreeMASTER DEGREE PROGRAMMES
Course CodeMCA-NEW
Course NameMaster of Computer Application
Subject CodeMCS 211
Subject NameDesign and Analysis of Algorithm
Year2025
Session
LanguageEnglish Medium
Assignment CodeMCS-211/Assignmentt-1//2025
Product DescriptionAssignment of MCA-NEW (Master of Computer Application) 2025. Latest MCS 211 2025 Solved Assignment Solutions
Last Date of IGNOU Assignment Submission
Last Date of Submission of IGNOU MCS-211 (MCA-NEW) 2025 Assignment is for January 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).
Semester Wise
January 2025 Session:
30th March, 2025 (for June 2025 Term End Exam).
July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam).

Rs. 90
Rs. 15
Questions Included in this Help Book

Ques 1.

Design and develop an efficient algorithm to find the list of prime numbers in the range 501 to 2000. What is the complexity of this algorithm?

Ques 2.

Differentiate between Cubic-time and Factorial-time algorithms. Give example of one algorithm each for these two running times.

Ques 3.

Write an algorithm to multiply two square matrices of order n*n. Also explain the time complexity of this algorithm.

Ques 4.

What are asymptotic bounds for analysis of efficiency of algorithms? Why are asymptotic bounds used? What are their shortcomings? Explain the Big O and Big notation with the help of a diagram. Find the Big O-notation and -notation for the function:

 equation

Ques 5.

Write and explain the Left to Right binary exponentiation algorithm. Demonstrate the use of this algorithm to compute the value of 32 (Show the 29 steps of computation). Explain the worst-case complexity of this algorithm.

Ques 6.

Write and explain the Bubble sort algorithm. Discuss its best and worst-case time complexity.

Ques 7.

What are the uses of recurrence relations? Solve the following recurrence relations using the Master's method

equation

,equation

Ques 8.

What is an Optimisation Problem? Explain with the help of an example. When would you use a Greedy Approach to solve optimisation problem? Formulate the Task Scheduling Problem as an optimisation problem and write a greedy algorithm to solve this problem. Also, solve the following fractional Knapsack problem using greedy approach. Show all the steps.

Suppose there is a knapsack of capacity 20 Kg and the following 6 items are to packed in it. The weight and profit of the items are as under:

equation

equation

Select a subset of the items that maximises the profit while keeping the total weight below or equal to the given capacity.

Ques 9.

Assuming that data to be transmitted consists of only characters ‘a’ to ‘g’, design the Huffman code for the following frequencies of character data. Show all the steps of building a huffman tree. Also, show how a coded sequence using Huffman code can be decoded

equation

Ques 10.

Explain the Merge procedure of the Merge Sort algorithm. Demonstrate the use of recursive Merge sort algorithm for sorting the following data of size 8: [19, 18, 16, 12, 11, 10, 9, 8]. Compute the complexity of Merge Sort algorithm.

Ques 11.

Explain the divide and conquer approach of multiplying two large integers. Compute the time complexity of this approach. Also, explain the binary search algorithm and find its time complexity

Ques 12.

Explain the Topological sorting with the help of an example. Also, explain the algorithm of finding strongly connected components in a directed Graph.

Ques 13.

Consider the following Graph:

Ques 14.

Write the Prim’s algorithm to find the minimum cost spanning tree of a graph. Also, find the time complexity of Prim’s algorithm. Demonstrate the use of Kruskal’s algorithm and Prim’s algorithm to find the minimum cost spanning tree for the Graph given in Figure 1. Show all the steps.

Ques 15.

Write the Dijkstra’s shortest path algorithm. Also, find the time complexity of this shortest path algorithm. Find the shortest paths from the vertex ‘A’ using Dijkstra’s shortest path algorithm for the graph given in Figure 1. Show all the steps of computation.

Ques 16.

Explain the algorithm to find the optimal Binary Search Tree. Demonstrate this algorithm to find the Optimal Binary Search Tree for the following probability data (where pi represents the probability that the search will be for the key node ki, whereas qi represents that the search is for dummy node di. Make suitable assumptions, if any)

i 0 1 2 3 4
pi   0.10 0.15 0.20 0.10
qi 0.05 0.10 0.10 0.10 0.10

Ques 17.

Given the following sequence of chain multiplication of the matrices. Find the optimal way of multiplying these matrices:

Matrix Dimension
A1 10 × 15
A2 15 × 5
A3 5 × 20
A4 20 × 10

Ques 18.

Explain the Rabin Karp algorithm for string matching with the help of an example. Find the time complexity of this algorithm.

Ques 19.

Explain the term Decision problem with the help of an example. Define the following problems and identify if they are decision problem or optimisation problem? Give reasons in support of your answer.

(i) Travelling Salesman Problem

(ii) Graph Colouring Problem

(iii) 0-1 Knapsack Problem

Ques 20.

What are P and NP class of Problems? Explain each class with the help of at least two examples.

Ques 21.

Define the NP-Hard and NP-Complete problem. How are they different from each other. Explain the use of polynomial time reduction with the help of an example

Ques 22.

SAT Problem

Ques 23.

Clique problem

Ques 24.

Hamiltonian Cycle Problem

Ques 25.

Subset Sum Problem

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IGNOU MCA-NEW Assignments Jan - July 2024 - IGNOU University has uploaded its current session Assignment of the MCA-NEW Programme for the session year 2025. Students of the MCA-NEW Programme can now download Assignment questions from this page. Candidates have to compulsory download those assignments to get a permit of attending the Term End Exam of the IGNOU MCA-NEW Programme.

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If you’ve arrived at this page, you’re looking for a free PDF download of the IGNOU MCA-NEW Solved Assignment 2025. MCA-NEW is for Master of Computer Application.

IGNOU solved assignments are a set of questions or tasks that students must complete and submit to their respective study centers. The solved assignments are provided by IGNOU Academy and must be completed by the students themselves.

Course Name Master of Computer Application
Course Code MCA-NEW
Programm MASTER DEGREE PROGRAMMES Courses
Language English

 

 

 
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