Hello sir, is there any one can give me syllabus of Design and Analysis of Algorithms Visvesvaraya Technological University Notes?

As you want here I’m giving you Design and Analysis of Algorithms Visvesvaraya Technological University Notes:

Design and Analysis of Algorithms Visvesvaraya Technological University Topic :
Unit 1 Introduction
Unit 2 Fundamentals of the Analysis of Algorithm Efficiency
Unit 2-A Asymptotic Notations and Basic Efficiency Classes
Unit 3 Brute Force
Unit 4 Divide and Conquer contd
Unit 4-A Decrease and Conquer
Unit 5 Transform and Conquer
Unit 6 Dynamic Programming
Unit 7 Greedy Technique
Unit 8 Limitations of Algorithm Power
Unit 8-A Coping with the Limitations of Algorithm Power


Design And Analysis Of Algorithms


Subject Code: 10CS43
I.A. Marks : 25
Hours/Week : 04
Exam Hours: 03
Total Hours : 52
Exam Marks: 100

PART – A
UNIT – 1
INTRODUCTION: Notion of Algorithm, Review of Asymptotic Notations, Mathematical Analysis of Non-Recursive and Recursive Algorithms Brute Force Approaches: Introduction, Selection Sort and Bubble Sort, Sequential Search and Brute Force String Matching.

UNIT - 2
DIVIDE AND CONQUER: Divide and Conquer: General Method, Defective Chess Board, Binary Search, Merge Sort, Quick Sort and its performance.

UNIT - 3

THE GREEDY METHOD: The General Method, Knapsack Problem, Job Sequencing with Deadlines, Minimum-Cost Spanning Trees: Prim’s Algorithm, Kruskal’s Algorithm; Single Source Shortest Paths.

UNIT - 4
DYNAMIC PROGRAMMING: The General Method, Warshall’s Algorithm, Floyd’s Algorithm for the All-Pairs Shortest Paths Problem, Single-Source Shortest Paths: General Weights, 0/1 Knapsack, The Traveling Salesperson problem.

PART – B
UNIT - 5
22 DECREASE-AND-CONQUER APPROACHES, SPACE-TIME TRADEOFFS: Decrease-and-Conquer Approaches: Introduction, Insertion Sort, Depth First Search and Breadth First Search, Topological Sorting Space-Time Tradeoffs: Introduction, Sorting by Counting, Input Enhancement in String Matching.

UNIT – 6
LIMITATIONS OF ALGORITHMIC POWER AND COPING WITH THEM: Lower-Bound Arguments, Decision Trees, P, NP, and NP-Complete Problems, Challenges of Numerical Algorithms.

UNIT - 7
COPING WITH LIMITATIONS OF ALGORITHMIC POWER: Backtracking: n - Queens problem, Hamiltonian Circuit Problem, Subset – Sum Problem. Branch-and-Bound: Assignment Problem, Knapsack Problem, Traveling Salesperson Problem. Approximation Algorithms for NP-Hard Problems – Traveling Salesperson Problem, Knapsack Problem

UNIT – 8
PRAM ALGORITHMS: Introduction, Computational Model, Parallel Algorithms for Prefix Computation, List Ranking, and Graph Problems,

Design and Analysis of Algorithms Visvesvaraya Technological University Notes
m.noteboy.in/vtuflies/Design%20and%20analysis%20of%20algorithm.pdf