Data Structure Tutorial Pdf

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Data Structures Tutorial. Data Structures (DS) tutorial provides basic and advanced concepts of Data Structure. Our Data Structure tutorial is designed for beginners and professionals. Data Structure is a way to store and organize data so that it can be used efficiently. Here you can download the free Data Structures Pdf Notes – DS Notes Pdf latest and Old materials with multiple file links to download. Data Structures Notes Pdf – DS pdf Notes starts with the topics covering C Class Overview- Class Definition, Objects, Class Members, Access Control, Class Scope, Constructors and destructors, parameter passing methods, Inline functions, static class. Data Structures & Algorithms Tutorial in PDF - You can download the PDF of this wonderful tutorial by paying a nominal price of $9.99. Your contribution will go a.

  1. Introduction to Data Structure Prof. Pradyumansinh Jadeja 2130702 – Data Structure 1 Introduction to Data Structure Computer is an electronic machine which is used for data processing and manipulation. When programmer collects such type of data for processing, he would require to store all of them in computer’s main memory.
  2. We provided the Download Links to Data Structures Using C Pdf Notes – Download B.Tech Study materials, Lecture Notes, Books., for Engineering Students. Share this article with your classmates and friends so that they can also follow Latest Study Materials and Notes on Engineering Subjects.
  3. Tree is a hierarchical data structure which stores the information naturally in the form of hierarchy style. Tree is one of the most powerful and advanced data structures. It is a non-linear data structure compared to arrays, linked lists, stack and queue. It represents the nodes connected by edges. The above figure represents structure of a tree.
  • Algorithm
  • Data Structures
  • Linked Lists
  • Stack & Queue
  • Searching Techniques
  • Sorting Techniques
  • Graph Data Structure
  • Tree Data Structure
Data
  • Recursion
  • DSA Useful Resources
  • Selected Reading

Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.

Why to Learn Data Structure and Algorithms?

As applications are getting complex and data rich, there are three common problems that applications face now-a-days.

  • Data Search − Consider an inventory of 1 million(106) items of a store. If the application is to search an item, it has to search an item in 1 million(106) items every time slowing down the search. As data grows, search will become slower.

  • Processor speed − Processor speed although being very high, falls limited if the data grows to billion records.

  • Multiple requests − As thousands of users can search data simultaneously on a web server, even the fast server fails while searching the data.

To solve the above-mentioned problems, data structures come to rescue. Data can be organized in a data structure in such a way that all items may not be required to be searched, and the required data can be searched almost instantly.

Applications of Data Structure and Algorithms

Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages, i.e. an algorithm can be implemented in more than one programming language.

From the data structure point of view, following are some important categories of algorithms −

  • Search − Algorithm to search an item in a data structure.

  • Sort − Algorithm to sort items in a certain order.

  • Insert − Algorithm to insert item in a data structure.

  • UpdateDirt showdown xbox 360. − Algorithm to update an existing item in a data structure.

  • Delete − Algorithm to delete an existing item from a data structure.

The following computer problems can be solved using Data Structures −

  • Fibonacci number series
  • Knapsack problem
  • Tower of Hanoi
  • All pair shortest path by Floyd-Warshall
  • Shortest path by Dijkstra
  • Project scheduling

Audience

This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn data structures and algorithm programming in simple and easy steps.

After completing this tutorial you will be at intermediate level of expertise from where you can take yourself to higher level of expertise.

Prerequisites

Before proceeding with this tutorial, you should have a basic understanding of C programming language, text editor, and execution of programs, etc.

Download Data StructuresUsing C++ Pdf Notes. You can Check Data Structures Using C++ of B.Tech Subjects Study Materials and Lecture Notes with Syllabus and Important Questions Below. We provide B.tech Data Structures Using C++ study materials to B.Tech student with free of cost and it can download easily and without registration need. From the following B.tech Data Structures Using C++ Notes (C ++ Pdf नोट्स का उपयोग करके डेटा संरचनाएं), you can get the complete Study Material in Single Download Link.

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Data Structures Using C++ Pdf Notes

To be familiar with the basic techniques of object-oriented principles and exception handling using C++. Be familiar with the concepts of Inheritance, Polymorphism, Solve problems using data structures such as linear lists, stacks, queues, hash tables. Be familiar with advanced data structures such as balanced search trees, AVL Trees, and B Trees.

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List of Reference Books for Data Structures Using C++ – 2nd Year

  • Data structures, Algorithms and Applications in C++, S.Sahni, University Press (India) Pvt.Ltd, 2nd edition, Universities Press, Pvt. Ltd.
  • Data structures and Algorithm Analysis in C++, Mark Allen Weiss, Pearson Education. Ltd., Second Edition.
  • Data structures and Algorithms in C++, Michael T.Goodrich, R.Tamassia and .Mount, Wiley student edition, John Wiley and Sons.
  • Problem-solving with C++, The OOP, Fourth edition, W.Savitch, Pearson education.
  • Data structures and algorithms in C++, 3rd Edition, Adam Drozdek, Thomson
  • A Data structures using C and C++, Langsam, Augenstein and Tanenbaum, PHI.

Data Structures using c++ Syllabus -1st semester

UNIT-I: ARRAYS

Abstract Data Types and the C++ Class, An Introduction to C++ Class- Data Abstraction and Encapsulation in C++- Declaring Class Objects and Invoking Member Functions- Special Class Operations- Miscellaneous Topics- ADTs and C++Classes, The Array as an Abstract Data Type, The Polynomial Abstract Data type- Polynomial Representation- Polynomial Addition. Spares Matrices,Introduction- Sparse Matrix Representation- Transposing a Matrix- Matrix Multiplication, Representation of Arrays.

UNIT-II: STACKS AND QUEUES

Templates in C++, Template Functions- Using Templates to Represent Container Classes, The Stack Abstract Data Type, The Queue Abstract Data Type, Subtyping and Inheritance in C++,
Evaluation of Expressions, Expression- Postfix Notation- Infix to Postfix.

UNIT-III: LINKED LISTS

Single Linked List and Chains, Representing Chains in C++, Defining a Node in C++- Designing a Chain Class in C++- Pointer manipulation in C++- Chain Manipulation Operations, The Template Class Chain, Implementing Chains with Templates- Chain Iterators- Chain Operations- Reusing a Class, Circular Lists, Available Space Lists, Linked Stacks and Queues, Polynomials, Polynomial Representation- Adding Polynomials- Circular List Representation of Polynomials, Equivalence Classes, Sparse Matrices, Sparse Matrix Representation- Sparse Matrix Input Deleting a Sparse Matrix, Doubly Linked Lists, Generalized Lists, Representation of Generalized Lists- Recursive Algorithms for Lists- Reference Counts, Shared and Recursive Lists

UNIT-IV: TREES

Introduction, Terminology, Representation of Trees, Binary Trees, The Abstract Data Type, Properties of Binary Tress, Binary Tree Representations, Binary Tree Traversal and Tree Iterators, Introduction, Inorder Traversal Preorder Traversal, Postorder Traversal, Thread Binary Trees, Threads, Inorder Traversal of a Threaded Binary Tree, Inserting a Node into a Threaded Binary Tree, Heaps, Priority Queues, Definition of a Max Heap, Insertion into a Max Heap, Deletion from a Max Heap, Binary Search Trees, Definition, Searching a Binary Search Tree, Insertion into a Binary Search Tree, Deletion from a Binary Search Tree, Height of Binary
Search Tree.

UNIT-V: GRAPHS

The Graph Abstract Data Type, Introduction, Definition, Graph Representation, Elementary Graph Operation, Depth First Search, Breadth First Search, Connected Components, Spanning
Trees, Biconnected Components, Minimum Cost Spanning Trees, Kruskal S Algorithm, Prim s Algorithm Sollin’ s Algorithm, Shortest Paths and Transitive Closure, Single Source/All Destination: Nonnegative Edge Cost, Single Source/All Destination: General Weights, All-Pairs Shortest Path, Transitive Closure.

UNIT-VI: SORTING

Insertion Sort, Quick Sort, Merge Sort Merging, Iterative Merge Sort, Recursive Merge Sort, Heap Sort.

OUTCOMES:
• Distinguish between procedures and object-oriented programming.
• Apply advanced data structure strategies for exploring complex data structures.
• Compare and contrast various data structures and design techniques in the area of Performance.
• Implement data structure algorithms through C++. • Incorporate data structures into the applications such as binary search trees, AVL and B Trees
• Implement all data structures like stacks, queues, trees, lists and graphs and compare their Performance and trade offs

Data Structures using c++ Review Questions List

  • Explain Oops Concepts?
  • Discuss representation of polynomial using Abstract Data Type?
  • Write a C++ Program to pop an element from the stack?
  • Explain different types of inheritances available in C++?
  • Write a C++ Program to insert an element at last position into a single linked list?
  • Explain about equivalence class?
  • If number of elements in a binary search tree is N. Give two sample binary search tree where the search time is proportional to i) Log N ii) N
  • Explain with examples different cases of deletion of elements in a binary search tree?
  • Write an algorithm to traverse a graph using breadth first search?
  • Discuss about different ways of representing Graphs in memory?
  • Write a C++ program to sort the following elements using Recursive Merge Sort?
  • Trace the above program for the following elements?
    12, 25, 5, 9, 1, 84, 63, 7, 15, 4, 3
  • With an example Explain the procedure of transposing a Sparse matrix?
  • Discuss about Array as an Abstract Data Type?
  • Write a Program to push an element into a stack?
  • Implement container classes using templates?
  • Discuss about implementing Chains with templates?
  • Discuss about implementation of queues using linked list?
  • Create max heap for the following elements(20, 12, 14, 3, 52, 15, 139, 27, 190)
  • What are Tree iterators? Explain
  • Write an algorithm to traverse a graph using Depth first search?
  • Explain about All pairs shortest path algorithm?
  • Write a C++ program to sort the following elements using Insertion Sort?
  • Trace the above program for the following elements?
    65, 6, 54, 63, 56, 61, 14, 39, 28, 16, 30.

Buy Data Structures using C++ Books for 2nd year Online at Amazon.in

Data Structures Using C++
  • Ajit J More
  • Techtree Educations
  • Paperback
  • Edition no. First Edition (01/01/1970)
  • English
Data Structures Using C++
  • Deepak Gupta
  • S.K. Kataria & Sons
  • Edition no. 2012 (01/01/1970)
  • Paperback: 325 pages
Data Structure Using C++
  • N. Kashivishwanath
  • Laxmi Publications
  • Edition no. First (01/01/1970)
  • Paperback: 220 pages
Data Structure Using C++
  • M. Jayalakshmi
  • Laxmi Publications
  • Edition no. First (01/01/1970)
  • Paperback: 126 pages
Sale Object Oriented Data Structures Using C++
  • K.S. Easwarakumar
  • Vikas Publication House Pvt Ltd
  • Edition no. First (12/11/2000)
  • Paperback: 348 pages
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  • Binding : paperback
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Data Structures Using C++
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  • Edition no. 1 (01/01/2014)
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Data Structures and Algorithms Using C++
  • This book has been prescribed and recommended as a textbook in the latest AICTE Model Curriculum of Engineering & Technology 2018-19.
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  • Khanna Publishing
  • Edition no. Third (01/01/1970)
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Data Structures Using C++
  • Oxford University Press, USA
  • Varsha H. Patil
  • Oxford
  • Paperback: 704 pages
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  • Langsam / Augenstein / Tenenbaum
  • Pearson Education India
  • Edition no. 2 (01/01/1970)
  • 3.5' and 5.25' disks: 688 pages

We provided the Download Links to Data Structures Using C++ Pdf Notes – Download B.Tech Study materials, Lecture Notes, Books., for Engineering Students. Share this article with your classmates and friends so that they can also follow Latest Study Materials and Notes on Engineering Subjects. Any University student can download given B.Tech Notes and Study material or you can buyB.Tech 2nd Year Data Structures Using C++ Books at Amazon also. For any query regarding on Data Structures Using C++ Pdf Contact us via the comment box below.

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