# CS 1211 DATA STRUCTURES AND ALGORITHMS

CS 1211 DATA STRUCTURES AND ALGORITHMS 3

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AIM

To present the concept of arrays, recursion, stack, queue,

linked list, trees and graph data

structures.

OBJECTIVES

i.* * To introduce the concept of arrays, structures, pointers and

recursion.**

ii. To study stack, queue and linked list concepts.

iii. To study trees, representation of trees, tree traversal and

basic operations on trees.

iv. To study some of the sorting and searching techniques.

v. To study the concept of graphs, traversal techniques and

minimum spanning tree.

*1. INTRODUCTION TO DATA STRUCTURES

9 *

Abstract data types - Sequences as value definitions - Data types in C -

Pointers in C -Data structures and C - Arrays in C - Array as ADT - One

dimensional array -Implementing one dimensional array - Array as parameters

- Two dimensional array -Structures in C - Implementing structures - Unions

in C - Implementation of unions -Structure parameters - Allocation of

storage and scope of variables.

Recursive definition and processes: Factorial function - Fibonacci sequence

- Recursion in C - Efficiency of recursion.

* *

*2. STACK, QUEUE AND LINKED LIST

9 *

Stack definition and examples – Primitive operations – Example -

Representing stacks in C - Push and pop operation implementation.

Queue as ADT - C Implementation of queues - Insert operation - Priority

queue - Array implementation of priority queue.

Inserting and removing nodes from a list-linked implementation of stack,

queue and priority queue - Other list structures - Circular lists: Stack and

queue as circular list -Primitive operations on circular lists. Header nodes

- Doubly linked lists - Addition of long positive integers on circular and

doubly linked list.

*3. TREES

9 *

Binary trees: Operations on binary trees - Applications of binary trees -

Binary tree representation - Node representation of binary trees - Implicit

array representation of binary tree – Binary tree traversal in C - Threaded

binary tree - Representing list as binary tree - Finding the Kth element -

Deleting an element.

Trees and their applications: C representation of trees - Tree traversals -

Evaluating an expression tree - Constructing a tree.

*4. SORTING AND SEARCHING

9 *

General background of sorting: Efficiency considerations, Notations,

Efficiency of sorting. Exchange sorts: Bubble sort; Quick sort; Selection

sort; Binary tree sort; Heap sort. Heap as a priority queue - Sorting using

a heap-heap sort procedure - Insertion sorts: Simple insertion - Shell sort

- Address calculation sort - Merge sort -Radix sort.

* *

Sequential search: Indexed sequential search - Binary search - Interpolation

search.

* *

*5. GRAPHS*

*9*

Application of graph - C representation of graphs - Transitive closure -

Warshall's algorithm – Shortest path algorithm - Linked representation of

graphs - Dijkstra's algorithm - Graph traversal - Traversal methods for

graphs - Spanning forests - Undirected graph and their traversals - Depth

first traversal - Application of depth first traversal - Efficiency of depth

first traversal - Breadth first traversal - Minimum spanning tree -

Kruskal's algorithm - Round robin algorithm.

L=45

T=15 Total = 60

TEXT BOOK

1. Aaron M. Tenenbaum, Yeedidyah Langsam, Moshe J. Augenstein, 'Data

structures using C', Pearson Education, 2004 / PHI.

REFERENCE BOOKS

1. E. Balagurusamy, 'Programming in Ansi C', Second Edition, Tata

McGraw Hill

Publication, 2003.

*2. Robert L. Kruse, Bruce P. Leung Clovis L.Tondo, 'Data Structures

and Program Design in C', Pearson Education, 2000 / PHI.*

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