Design And Analysis Of Algorithms

Design And Analysis Of Algorithms

( 53 )
4122 Views

This product is currently not available.

Save extra with 1 Offers

Get ₹ 50

Instant Cashback on the purchase of ₹ 400 or above

Product Specifications

Publisher PHI Learning All BCA - Bachelor of Computer Applications books by PHI Learning
ISBN 9788120351646
Author: R. Panneerselvam
Number of Pages 642
Available
Available in all digital devices
  • Snapshot
  • About the book
  • Sample book
Design And Analysis Of Algorithms - Page 1 Design And Analysis Of Algorithms - Page 2 Design And Analysis Of Algorithms - Page 3 Design And Analysis Of Algorithms - Page 4 Design And Analysis Of Algorithms - Page 5

Design And Analysis Of Algorithms by R. Panneerselvam
Book Summary:

This highly structured text, in its second edition, provides comprehensive coverage of design techniques of algorithms. It traces the complete development of various algorithms in a stepwise approach followed by their pseudo-codes to build an understanding of their applications in practice. With clear explanations, the textbook intends to be much more comprehensive book on design and analysis of algorithm.

Commencing with the introduction, the book gives a detailed account of graphs and data structure. It then elaborately discusses the matrix algorithms, basic algorithms, network algorithms, sorting algorithm, backtracking algorithms and search algorithms. The text also focuses on the heuristics, dynamic programming and meta heuristics. The concepts of cryptography and probabilistic algorithms have been described in detail. Finally, the book brings out the underlying concepts of benchmarking of algorithms, algorithms to schedule processor(s) and complexity of algorithms.

Audience of the Book :
This book Useful for BCA, MCA, PGDCA, and DCA Student.
Table of Contents:

1.    Introduction

2.    Graphs

3.    Data Structure

4.    Matrix Algorithms

5.    Basic Algorithms 

6.    Network Algorithms

7.    Sorting Algorithm

8.    Backtraking Algorithms

9.    Search Algorithms

10.  Heuristics

11.  Dynamic Programming

12.  Meta Heuristics

13.  Cryptography

14.  Probabilistic Algorithms

15.  Benchmarking of Algorithms

16.  Algorithms to Schedule Processor(s)

17.  Complexity of Algorithms 

Questions

Suggested Readings

Index