Tutorial's point itself is a good website for learning. I myself many As far as your question is concerned you are asking for data structures and algorithm. See in. Data structure study covers the following points Primitive data structures are basic structures and are directly operated upon by machine. Why should you learn about data structures and program- . Basic integer types. Reading and writing floating-point numbers. PDF. Code examples can be downloaded from links in the text, or can be found in the.

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Data Structures and Algorithms in PDF - Learn Data Structures and Algorithm using c, C++ and Java in simple and easy steps starting from basic to advanced. This tutorial will give you a great understanding on Data Structures needed to and graphics published in this e-book are the property of Tutorials Point (I). From data structure point of view, following are some important categories of As we know that all programming languages share basic code constructs like.

Data Structure syllabus covered in this tutorial This Data Structure tutorial covers: Operation 3. In stack, an element may be inserted or deleted at one end which is known as Top of the stack. Float Used to represent a number with decimal point. Data are just a collection of facts and figures, or you can say data are values or a set of values that are in a particular format. Data structure is just a container for the data that is used to store, manipulate and arrange. Data may be arranged in many different ways such as the logical or mathematical model for a particular organization of data is termed as a data structure.

Types of Data Structure A. Primitive Data Type Primitive data types are the data types available in most of the programming languages. These data types are used to represent single value.

It is a basic data type available in most of the programming language. Data type Description Integer Used to represent a number without decimal point. Float Used to represent a number with decimal point. Character Used to represent single character.

Boolean Used to represent logical values either true or false. Non-Primitive data types are used to store group of values. It can be divided into two types: Linear Data Structure 2. Non-Linear Data Structure 1. Linear Data Structure Linear data structure traverses the data elements sequentially.

In linear data structure, only one data element can directly be reached.

It includes array, linked list, stack and queues. Types Description Arrays Array is a collection of elements. It is used in mathematical problems like matrix, algebra etc. Linked list Linked list is a collection of data elements. It consists of two parts: Info and Link. Info gives information and Link is an address of next node.

Linked list can be implemented by using pointers. Stack Stack is a list of elements.

In stack, an element may be inserted or deleted at one end which is known as Top of the stack. It performs two operations: Push and Pop.

Push means adding an element in stack and Pop means removing an element in stack. Queue Queue is a linear list of element. In queue, elements are added at one end called rear and the existing elements are deleted from other end called front.

In non-linear data structure, the data values are not arranged in order and a data item is connected to several other data items. It uses memory efficiently.

Free contiguous memory is not required for allocating data items. It includes trees and graphs. Type Description Tree Tree is a flexible, versatile and powerful non-linear data structure. It is an ideal data structure for representing hierarchical data.

Graph Graph is a non-linear data structure which consists of a finite set of ordered pairs called edges.

Graph is a set of elements connected by edges. Each elements are called a vertex and node. It is an abstraction of a data structure. Abstract data type is a mathematical model of a data structure.

It describes a container which holds a finite number of objects where the objects may be associated through a given binary relationship. It is a logical description of how we view the data and the operations allowed without regard to how they will be implemented.

The variety of a specific data model depends on the two factors - Firstly, it must be loaded enough in structure to reflect the actual relationships of the data with the real world object. Secondly, the formation should be simple enough so that anyone can efficiently process the data each time it is necessary.

Categories of Data Structure The data structure can be subdivided into major types: There are two techniques of representing such linear structure within memory. The first way is to provide the linear relationships among all the elements represented using linear memory location. These linear structures are termed as arrays. The second technique is to provide a linear relationship among all the elements represented by using the concept of pointers or links.

These linear structures are termed as linked lists. The common examples of the linear data structure are: Arrays Queues Stacks Linked lists Nonlinear Data Structure This structure is mostly used for representing data that contains a hierarchical relationship among various elements. Examples of Non-Linear Data Structures are listed below: Graphs the family of trees and table of contents Tree: In this case, data often contain a hierarchical relationship among various elements.

The data structure that reflects this relationship is termed as a rooted tree graph or a tree.