Design and Analysis of Algorithms (R22)

Explore key resources related to **Design and Analysis of Algorithms**, a core subject for Computer Science and Engineering students. This includes important concepts, previous year exam papers, and reference materials.

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Important Concepts - DAA

Here are the key concepts for **Design and Analysis of Algorithms**, essential for your exam preparation.

Sorting Algorithms

  • Bubble Sort
  • Selection Sort
  • Merge Sort
  • Quick Sort

Divide and Conquer

  • Recursion and Subproblems
  • Master Theorem
  • Binary Search
  • Merge Sort and Quick Sort

Dynamic Programming

  • Fibonacci Sequence
  • Knapsack Problem
  • Longest Common Subsequence
  • Matrix Chain Multiplication

Greedy Algorithms

  • Activity Selection Problem
  • Huffman Coding
  • Fractional Knapsack
  • Prim's and Kruskal's Algorithms

Graph Algorithms

  • Depth-First Search (DFS)
  • Breadth-First Search (BFS)
  • Dijkstra's Algorithm
  • Minimum Spanning Tree

NP-Completeness

  • Complexity Classes
  • Reduction Techniques
  • NP-Complete Problems
  • P vs NP Problem

Previous Year Exams - DAA

Here are previous year exam papers for **Design and Analysis of Algorithms**, helping you to prepare for the exams effectively.

DAA - Previous Year Papers

Download and practice previous year exam papers on DAA topics such as sorting, dynamic programming, graph algorithms, and more.


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Reference Materials - DAA

Download essential reference materials and notes to enhance your understanding of **Design and Analysis of Algorithms**.

DAA - Key Concepts

Download notes covering the essential concepts of DAA, including sorting algorithms, dynamic programming, graph theory, and more.


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