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Index Each location of an element in an array has a numerical index, which isused to identify the element.Array Representation:(Storage structure)Arrays can be declared in various ways in different languages. Element Each item stored in an array is called an element. Following are the important terms to understand the concept of Array. Most of the data structures make use of arrays to implement theiralgorithms. Such data structure istermed as a Graph.Array is a container which can hold a fix number of items and these items should be ofthe same type. Graph: In this case, data sometimes hold a relationship between the pairs of elementswhich is not necessarily following the hierarchical structure. The data structure that reflects this relationship is termed as rooted treegraph or a tree. These linear structures aretermed as linked lists.The common examples of linear data structure are: Arrays Queues Stacks Linked listsNon linear Data Structure:This structure is mostly used for representing data that contains a hierarchicalrelationship among various elements.Examples of Non Linear Data Structures are listed below: Graphs family of trees and table of contentsTree: In this case, data often contain a hierarchical relationship among variouselements. The second technique is to provide the linear relationship among all the elementsrepresented by using the concept of pointers or links. These linear structures are termed asarrays. First way is to provide the linear relationships among all the elementsrepresented by means of linear memory location. Secondly, the formation should be simple enough so that anyone can efficientlyprocess the data each time it is necessary.Categories of Data Structure:The data structure can be sub divided into major types: Linear Data Structure Non-linear Data StructureLinear Data Structure:A data structure is said to be linear if its elements combine to form any specific order.There are basically two techniques of representing such linear structure within memory.
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The variety of a particulardata model depends on the two factors Firstly, it must be loaded enough in structure to reflect the actual relationships ofthe data with the real world object. Data may bearranged in many different ways such as the logical or mathematical model for aparticular organization of data is termed as a data structure. Module-1Lecture-01Introduction to Data structuresIn computer terms, a data structure is a Specific way to store and organize data in acomputer's memory so that these data can be used efficiently later. “Fundamental of Data Structure” ( Schaums Series) Tata-McGraw-Hill.Ĭture-30Lecture-31Lecture-32Lecture-33Introduction to Data structureSearch OperationSparse Matrix and its representationsStackStack ApplicationsQueueLinked ListPolynomial ListDoubly Linked ListCircular Linked ListMemory AllocationInfix to Postfix ConversionBinary TreeSpecial Forms of Binary TreesTree TraversalAVL TreesB -treeBinary Search Tree (BST)Graphs TerminologyDepth First SearchBreadth First SearchGraph representationTopological SortingBubble SortInsertion SortSelection SortMerge SortQuick sortHeap SortRadix SortBinary SearchHashingHashing Functions “Fundamentals of data structure in C” Horowitz, Sahani & Freed, Computer SciencePress.2. Pai: ”Data Structures & Algorithms Concepts, Techniques & Algorithms ”TataMcGraw Hill.Reference Books:1. “Data structure in C” by Tanenbaum, PHI publication / Pearson publication.3.
#C programming and data structures by forouzan pdf code
Gilberg and Forouzan: “Data Structure- A Pseudo code approach with C” byThomson publication2. Linear and binary searchmethods, Hashing techniques and hash functions.Text Books:1. Trees: Tree terminology, Binary tree, Binarysearch tree, General tree, B tree, AVL Tree, Complete Binary Tree representation,Tree traversals, operation on Binary tree-expression Manipulation.Module –IIIGraphs: Graph terminology, Representation of graphs, path matrix, BFS (breadth firstsearch), DFS (depth first search), topological sorting, Warshall’s algorithm (shortestpath algorithm.) Sorting and Searching techniques – Bubble sort, selection sort,Insertion sort, Quick sort, merge sort, Heap sort, Radix sort. Operations on polynomials, Double linked list,circular list.Module – IIDynamic storage management-garbage collection and compaction, infix to post fixconversion, postfix expression evaluation. Linked lists: Single linked lists, linked listrepresentation of stacks and Queues. SYLLABUSBE 2106DATA STRUCTURE(3-0-0)Module – IIntroduction to data structures: storage structure for arrays, sparse matrices, Stacks andQueues: representation and application. Subasish MohapatraDepartment of Computer Science and ApplicationCollege of Engineering and Technology, BhubaneswarBiju Patnaik University of Technology, Odisha DATA STRUCTURES USING“C”LECTURE NOTESPrepared byDr.