May 15, 2025 · Searching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array.

In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values.

May 29, 2023 · Delve into the 6 types of search algorithms and gain insights into how each one works to optimize your search results more effectively.

Jul 29, 2020 · We looked at the ubiquity of search algorithms in web and mobile applications and at how it extends even to the physical world. We explored search-space reduction and covered two of the most popular search algorithms, binary search and A*.

Jan 11, 2022 · Search algorithms are designed to check or retrieve an element from any data structure where that element is being stored. They search for a target (key) in the search space.

Search algorithms have evolved to become more efficient in locating specific data among vast amounts of information. Binary search algorithms offer significant advantages in terms of …

Mar 19, 2023 · A search algorithm is a type of algorithm used in artificial intelligence to find the best or most optimal solution to a problem by exploring a set of possible solutions, also called a search space.

Learn the fundamentals of searching algorithms, their types, and applications in computer science for efficient data retrieval.

Mar 10, 2018 · Input -An algorithm has input values from a specified set. Output -From each set of input values an algorithm produces output values from a specified set. The output values are the solution to the problem. Definiteness -The steps of an algorithm must be defined precisely.

We've partnered with Dartmouth college professors Tom Cormen and Devin Balkcom to teach introductory computer science algorithms, including searching, sorting, recursion, and graph theory. Learn with a combination of articles, visualizations, quizzes, and coding challenges.