JNTUK R16 3-2 Design and Analysis of Algorithms Material PDF Download

JNTUK R16 3-2 Design and Analysis of Algorithms Material PDF Download

Students those who are studying JNTUK R16 CSE Branch, Can Download Unit wise R16 3-2 Design and Analysis of Algorithms (DAA) Material/Notes PDFs below.

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JNTUK R16 3-2 Design and Analysis of Algorithms Material PDF Download

OBJECTIVES:

  • Analyze the asymptotic performance of algorithms.
  • Write rigorous correctness proofs for algorithms.
  • Demonstrate a familiarity with major algorithms and data structures.
  • Apply important algorithmic design paradigms and methods of analysis.
  • Synthesize efficient algorithms in common engineering design situations

UNIT-1

Introduction: What is an Algorithm, Algorithm Specification, Pseudocode Conventions Recursive Algorithm, Performance Analysis, Space Complexity, Time Complexity, Amortized Complexity, Amortized Complexity, Asymptotic Notation, Practical Complexities, Performance Measurement.

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UNIT-2

Dived and Conquer: General Method, Defective Chessboard, Binary Search, Finding the Maximum and Minimum, Merge Sort, Quick Sort, Performance Measurement, Randomized Sorting Algorithms.

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UNIT-3

The Greedy Method: The General Method, Knapsack Problem, Job Sequencing with Deadlines, Minimum-cost Spanning Trees, Prim’s Algorithm, Kruskal’s Algorithms, An Optimal Randomized Algorithm, Optimal Merge Patterns, Single Source Shortest Paths.

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UNIT-4

Dynamic Programming: All – Pairs Shortest Paths, Single – Source Shortest paths General Weights, String Edition, 0/1 Knapsack, Reliability Design

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UNIT-5

Backtracking: The General Method, The 8-Queens Problem, Sum of Subsets, Graph Coloring , Hamiltonian Cycles.

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UNIT-6

Branch and Bound: The Method, Least cost (LC) Search, The 15-Puzzle: an Example, Control Abstraction for LC-Search, Bounding, FIFO Branch-and-Bound, LC Branch and Bound, 0/1 Knapsack Problem, LC Branch-and Bound Solution, FIFO Branch-and-Bound Solution, Traveling Salesperson.

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TEXT BOOKS:

  1. Fundamentals of computer algorithms E. Horowitz S. Sahni, University Press
  2. Introduction to AlgorithmsThomas H. Cormen, PHI Learning

REFERENCE BOOKS:

  1. The Design and Analysis of Computer Algorithms, Alfred V. Aho, John E. Hopcroft, Jeffrey D. Ullman
  2. Algorithm Design, Jon Kleinberg, Pearson.

OUTCOMES:

  • Argue the correctness of algorithms using inductive proofs and invariants.
  • Analyze worst-case running times of algorithms using asymptotic analysis.
  • Describe the divide-and-conquer paradigm and explain when an algorithmic design situation calls for it. Recite algorithms that employ this paradigm. Synthesize divide-andconquer algorithms. Derive and solve recurrences describing the performance of divideand-conquer algorithms.
  • Describe the dynamic-programming paradigm and explain when an algorithmic design situation calls for it. Recite algorithms that employ this paradigm. Synthesize dynamicprogramming algorithms, and analyze them.
  • Describe the greedy paradigm and explain when an algorithmic design situation calls for it. Recite algorithms that employ this paradigm. Synthesize greedy algorithms, and analyze them.

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