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Searching algorithms are algorithms designed to find the location or existence of a specific item (also known as a target or key) within a collection of data, such as an array or a list. These algorithms are like finding a particular book in a library or a specific name in a phone book.
Jun 28, 2024 · Introduction to Searching – Data Structure and Algorithm Tutorial. The primary objective of searching is to determine whether the desired element exists within the data, and if so, to identify its precise location or retrieve it.
- What Is Searching?
- Searching Terminologies
- Importance of Searching in DSA
- Applications of Searching
- Basics of Searching Algorithms
- Searching Algorithms
- Comparisons Between Different Searching Algorithms
- Library Implementations of Searching Algorithms
- Easy Problems on Searching
- Medium Problems on Searching
Searching is the fundamental process of locating a specific element or item within a collection of data. This collection of data can take various forms, such as arrays, lists, trees, or other structured representations. The primary objective of searching is to determine whether the desired element exists within the data, and if so, to identify its ...
Target Element:
In searching, there is always a specific target element or item that you want to find within the data collection. This target could be a value, a record, a key, or any other data entity of interest.
Search Space:
The search space refers to the entire collection of data within which you are looking for the target element. Depending on the data structure used, the search space may vary in size and organization.
Complexity:
Searching can have different levels of complexity depending on the data structure and the algorithm used. The complexity is often measured in terms of time and space requirements.
Efficiency:Efficient searching algorithms improve program performance.Data Retrieval: Quickly find and retrieve specific data from large datasets.Database Systems:Enables fast querying of databases.Problem Solving: Used in a wide range of problem-solving tasks.Searching algorithms have numerous applications across various fields. Here are some common applications: 1. Information Retrieval: Search engines like Google, Bing, and Yahoo use sophisticated searching algorithms to retrieve relevant information from vast amounts of data on the web. 2. Database Systems:Searching is fundamental in database systems...
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In this tutorial, you will learn about linear search. Also, you will find working examples of linear search C, C++, Java and Python.
Binary Search is a searching algorithm for finding an element's position in a sorted array. In this tutorial, you will understand the working of binary search with working code in C, C++, Java, and Python.
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