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A data structure is a scheme for organizing and storing data in the memory. Some of the most commonly used data structures are as follows lists, arrays, queues, stacks, trees and graphs.
The way in which the data is organized also affects the performance of a program for different tasks. The most important task of the Computer programmers decide which data structures to use based on the nature of the data and where it is being used.
A queue is a commonly used example of simple data structure. A queue has beginning and an end, called the front and back of the queue.
Data enter in the queue at one end and leaves at the other end and data exits the queue in the same order in which it enters the queue, like people in a checkout line at a supermarket.
A binary tree is another commonly used data structure. It is organized like an up-down tree. Each child on the tree is term as node, holds an item of data along with a left pointer and a right pointer.
The pointers are lined up in the way so that the structure forms the upside down tree, with a single node at the top, called the root node, and branches increasing on the left and right as you go down the tree.
A list is an ordered set of data. It is basically used to store objects that are processed sequentially.
An array is an indexed set of variables, such as movie , movie , and movie . It is like a set of variable that hold things.
Data Structure is a procedure of assembling and organizing the data in such a manner that it can perform the operations on the data in an impressive manner. Data Structures is defined as the rendering of data in terms of the relationship, for storage and better organization.
In simple word, Data Structures is a structures programmed that is used to store the data in a ordered way, so that the operations can be executed easily.
Some complicated Data Structures that are used to store connected and large data. Abstract Data Structure examples are:
All these abstract data structures allow performing various operations on data. These data structures can be selected on the basis of type of operation required.
Anything which can perform the storage of data, is called data structure, So Float, Integer, Char, Boolean, etc, are data structures. They are called as Primitive Data Structures.
An algorithm is defined as a finite set of logic or instructions that are written in order to perform a predefined task. Algorithm is nothing but it is just a core solution of a problem, that can be described either by using a flowchart or as pseudocode .
Programmatic way for storing data is known as data structures and this is done for using data efficiently and this is achieved by using different data structures according to the
organization needs. A step by step process or procedure for defining a set of instructions which are needed to be executed to obtain a desired output is known as algorithm.
Algorithms can be created independently without lying under any language and it can be implemented in any programming language.
For data structure, following categories of algorithms are used:
1. Search – for finding item in data structure.
2. Sort - sorting the data in a certain order.
3. Insert – inserting item into data structure.
4. Update – updating existing items in data structure.
5. Delete – deleting existing items from data structure.
In data structures, algorithms are needed to be unambiguous, input should be zero or well defined, output should be 1 or well defined, should terminate after finite steps,
should be feasible and there should be step by step direction which should not depend on any programming code.
There are no well defined standards for writing algorithms, it is a problem and depends on resource and these are not written for any particular programming code. Two types of
algorithm analysis are used for making algorithm efficient and these analyses are priori analysis and posterior analysis and these analyses are theoretical and empirical analysis
respectively. Algorithm complexity is determined by two factors and these factors are: Time factor and Space factor.
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Help for More complicated Data Structures topics like :
|Data structures: arrays, lists, queues, stacks, and sets||Trees: binary trees||Recursion||Traversing binary trees|
|Dictionary based data structures||binary search trees,hash tables, maps||Analysis of running time of algorithms||Algorithms for sorting and searching|
|Elementary tree and graph algorithms||Storing and Hash Tables||Graphs||depth first and breadth first search|
|Finite state machines||automata||formal and regular languages||Turing machines|