Concepts of Algorithms and Data Structures in Computer Science
Algorithms and Data structures both are a fundamental part of computer science. An algorithm is a step-by-step process that represents a set of instructions to be executed based on a given order. By this user can get the wanted output as per the requirement. An algorithm can be executed in more than one programming language. The following are some major classes of algorithms based on data structure point of view.
Search − The algorithm will help to search an object in a data structure.
Sort − The algorithm will help to sort items in as per the order .
Insert − The algorithm will help to insert an item in a data structure .
Update − The algorithm will help to update a present item in a data structure.
Delete − The algorithm will help to delete a present item from a data structure .
Algorithm Characteristics
Not all processes are known as an algorithm. An algorithm must have several characteristics. Those are as follows
Unambiguous − The algorithm ought to be clear as well as unambiguous. All of its steps i.e. phase as well as their inputs or outputs Ought to be clear. It must point only one meaning in the procedure.
Input − An algorithm must have 0 as input or more distinct data as input.
Output − An algorithm must have 1 as output or more distinct data as output. This output must match with the wanted result as well.
Feasibility − It must be attainable with the available supplies.
Independent − An algorithm must have step-by-step ways that ought to be self-sufficient in any programming code.
Algorithm Procedure
For writing algorithms, there are no distinct criteria. Algorithms are nevermore formulated to assist a programming code. As we know that all programming languages have some basic constructs like loops i.e. do, for, while, flow-control i.e. if-else, etc. By all of these, an algorithm can be written. We generally write algorithms for a code in a step-by-step manner. Writing and Algorithm is a procedure as well as is performed after the problem field is outlined.
Algorithm Analysis
The efficiency of an algorithm can be examined at two separate stages. those are before implementation as well as after implementation. They are the following
A Priori Analysis − This is a technical examination of an algorithm. The performance of an algorithm is estimated by considering that all other parts.
A Posterior Analysis − This is an experimental study of an algorithm. The chosen algorithm is performed using a programming language. This is then performed on a target computer system.
Algorithm Complexity
Let assume, an algorithm of a given process is X. And n is the size of input data. There are two main factors to estimate the complexity of the X algorithm.
Time Factor − Time is estimated by calculating the number of key processes like estimates in the sorting algorithm.
Space Factor − Space is estimated by calculating the maximum memory space needed by the algorithm.
The complexity of an algorithm can be denoted as f(n). It provides the operating time as well as the storage space needed by the algorithm based on n.
Data Structure
A data structure is a method of preparing data in a computer so that it can be handled productively. Essential topics of the data structure are Array, Linked List, Stack, Queue, Binary Tree, Binary Search Tree, Heap, Hashing, Graph, and Matrix. Data structures in computer science is a vital chapter that a person should be known to become a software programmer. Learn from scratch is not easy for all students. During the learning period, if you need Data structure assignment help then feel free to chat with online tutors. They will help you in Data structure assignment at an affordable price.
Data Object
Data Object describes an object, which has data.
Data Type
A data type is a method to analyze different types of data like integer, string, etc. It defines the values that can be used with a similar data type, the type of operations that can be executed on the identical data type. There are two data types −
Built-in Data Type: Integers, Boolean (true, false), Floating (Decimal numbers), Character and Strings
Derived Data Type: List, Array, Stack, and Queue
Basic Operations
The data in the data structures are prepared by some services. The data structure is determined mainly depends on the operation frequency. Some operation is as follows
Traversing
Searching
Insertion
Deletion
Sorting
Merging
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