In computer science , a search algorithm, broadly speaking, is an algorithm that takes a problem as input and returns the solution to the problem, usually after exploring a number of possible solutions.

How did search algorithms come about?

Search algorithms are based on the method of searching for any element within a set of elements with specific properties.

These could be books in libraries , or encrypted data, used mainly during the two world wars. Their computer language formats developed alongside the construction of the first computers. Most of their known publications began to appear from the 1970s onwards.

Currently, search algorithms are the foundation of internet search engines.

These ranking systems are composed not of one, but of a series of algorithms. To provide the information search algorithms analyze several factors, including query words, page relevance and usability, source knowledge

What is a search algorithm?

A search algorithm is the step-by-step procedure used to locate specific data within a collection of data . It is considered a fundamental procedure in computing. In computer science, when searching data, the difference between a fast and a slower application often lies in the use of the appropriate search algorithm.

Search algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.

Based on the type of search operation, these algorithms are generally classified into two categories:

• Sequential search : In this type of search, the list or array is traversed sequentially and each element is checked. For example: Linear search.
• Range Search : These algorithms are specifically designed to search within sorted data structures. This type of search algorithm is much more efficient than Linear Search because they repeatedly target the center of the search structure and divide the search space in half. For example: Binary Search.

Why do we use research?

Search algorithms are used to search for or find one or more elements in a dataset. This type of algorithm is used to locate elements of specific data structures. The search can be sequential or non-sequential. If the data in the dataset is random, we need to use sequential search.

What are the different types of search algorithms?

• Researching Algorithms:
• Linear research.
• Binary search.
• Jump Search.
• Interpolation search.
• Exponential research.
• Sublist search (searches a linked list within another list)
• Fibonacci research.
• Ubiquitous binary search.

Search algorithm in Computer Science

In computer science, a search algorithm , broadly speaking, is an algorithm that takes a problem as input and returns the solution to the problem, usually after exploring a number of possible solutions.

A solution, in the context of an intermediate function, is a method that an external, or more comprehensive, algorithm will use to solve a given problem. Search algorithms generally attempt to solve a problem.

The search problem and the search algorithm.

The goal of a search is to find one or more occurrences of records with the same value. To find the value you want, there are several search methods.

The choice of the most suitable method depends mainly on the amount of data involved and the possibility of inserting and/or deleting files.