Techniques and Applications


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Rs.276
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Techniques and Applications
INR
P-M-B-9780070667266
Out Of Stock
276.25
Rs.276
Out of Stock

Description

Intended for a course on Data Structures at the UG level, this title details concepts, techniques, and applications pertaining to the subject in a lucid style. Independent of any programming language, the text discusses several illustrative problems to reinforce the understanding of the theory. It offers a plethora of programming assignments and problems to aid implementation of Data Structures.
Key Features :

Lucid Language: Language used is easy to comprehend and the text steers clear of complicated formalisms, case in point being the coverage of Trees.

Exhaustive coverage: Separate chapters for Binary Search Trees and AVL Trees, B-Trees and Tries, and Red Black Trees and Splay Trees.

Example driven approach: After a brief introduction to the topic, the text applies these concepts using solved examples and algorithms. Eg. Infix, Prefix, and PostFix Expressions.

Use of Pseudocodes: Will provide students with flexibility in terms of language of implementation.

Unique Feature: ADT for each Data Structure has been discussed in a separate section at the end of every chapter.


Breakup of Examples and Problems


Solved Examples: 124

Review Questions: 215

Illustrative Problems: 133

Programming Assignments: 74

Illustrations: 369




The table of contents has been organized in a manner that it sits in agreement with a typical course on Data Structures

Features separate section on Abstract Data Types for all important Data Structures

Pseudocode approach gives students algorithms for implementing data structures which are equally applicable for any language (C/C++/Java)

Exhaustive Online Learning Center as against none provided by Tenenbaum's or Sahni's titles

Easy language at use

Table of Content :




Preface


Chapter 1. Introduction


Chapter 2. Analysis Of Algorithms




PART I: SEQUENTIAL LINEAR DATA STRUCTURES



Chapter 3. Arrays


Chapter 4. Stacks


Chapter 5. Queues




PART II: LINKED LINEAR DATA STRUCTURES



Chapter 6. Linked Lists


Chapter 7. Linked Stacks And Linked Queues




PART III: NON LINEAR DATA STRUCTURES



Chapter 8. Trees And Binary Trees


Chapter 9. Graphs




PART IV: ADVANCED DATA STRUCTURES





Chapter 10. Binary Search Trees And Avl Trees


Chapter 11. B Trees And Tries


Chapter 12. Red Black Trees And Splay Trees


Chapter 13. Hash Tables


Chapter 14. File Organizations




PART V: SEARCHING AND SORTING



Chapter 15. Searching


Chapter 16. Internal Sorting


Chapter 17. External Sorting


Index Intended for a course on Data Structures at the UG level, this title details concepts, techniques, and applications pertaining to the subject in a lucid style. Independent of any programming language, the text discusses several illustrative problems to reinforce the understanding of the theory. It offers a plethora of programming assignments and problems to aid implementation of Data Structures. Key Features : Lucid Language: Language used is easy to comprehend and the text steers clear of complicated formalisms, case in point being the coverage of Trees. Exhaustive coverage: Separate chapters for Binary Search Trees and AVL Trees, B-Trees and Tries, and Red Black Trees and Splay Trees. Example driven approach: After a brief introduction to the topic, the text applies these concepts using solved examples and algorithms. Eg. Infix, Prefix, and PostFix Expressions. Use of Pseudocodes: Will provide students with flexibility in terms of language of implementation. Unique Feature: ADT for each Data Structure has been discussed in a separate section at the end of every chapter. Breakup of Examples and Problems Solved Examples: 124 Review Questions: 215 Illustrative Problems: 133 Programming Assignments: 74 Illustrations: 369 The table of contents has been organized in a manner that it sits in agreement with a typical course on Data Structures Features separate section on Abstract Data Types for all important Data Structures Pseudocode approach gives students algorithms for implementing data structures which are equally applicable for any language (C/C++/Java) Exhaustive Online Learning Center as against none provided by Tenenbaum's or Sahni's titles Easy language at use Table of Content : Preface Chapter 1. Introduction Chapter 2. Analysis Of Algorithms PART I: SEQUENTIAL LINEAR DATA STRUCTURES Chapter 3. Arrays Chapter 4. Stacks Chapter 5. Queues PART II: LINKED LINEAR DATA STRUCTURES Chapter 6. Linked Lists Chapter 7. Linked Stacks And Linked Queues PART III: NON LINEAR DATA STRUCTURES Chapter 8. Trees And Binary Trees Chapter 9. Graphs PART IV: ADVANCED DATA STRUCTURES Chapter 10. Binary Search Trees And Avl Trees Chapter 11. B Trees And Tries Chapter 12. Red Black Trees And Splay Trees Chapter 13. Hash Tables Chapter 14. File Organizations PART V: SEARCHING AND SORTING Chapter 15. Searching Chapter 16. Internal Sorting Chapter 17. External Sorting Index

Features

  • : Techniques and Applications
  • : Tata Mcgraw Hill
  • : 0070667268
  • : 9780070667266
  • : Paperback

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