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  1. Apr 1, 2024 · Searching algorithms are essential tools in computer science used to locate specific items within a collection of data. These algorithms are designed to efficiently navigate through data structures to find the desired information, making them fundamental in various applications such as databases, web search engines, and more. Searching Algorithm.

  2. Jun 28, 2024 · Introduction to Searching Algorithms. 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 ...

  3. Searching Algorithms in C. Searching is a fundamental concept in computer science. It’s the process of finding a specific item in a collection of items. In C programming, we often need to search for data in arrays or other data structures. This tutorial will guide you through the most popular searching algorithms in C: Linear Search and ...

  4. Sep 3, 2024 · Linear Search is a sequential searching algorithm in C that is used to find an element in a list. Linear Search compares each element of the list with the key till the element is found or we reach the end of the list. Example. Input: arr = {10, 50, 30, 70, 80, 60, 20, 90, 40}, key: 30. Output: Key Found at Index: 2.

  5. Linear search is a sequential searching algorithm where we start from one end and check every element of the list until the desired element is found. It is the simplest searching algorithm. How Linear Search Works?

  6. Linear search in C to find whether a number is present in an array. If it's present, then at what location it occurs. It is also known as a sequential search. It is straightforward and works as follows: we compare each element with the element to search until we find it or the list ends. Linear search for multiple occurrences and using a function.

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  8. Aug 3, 2022 · Linear Search Algorithm. Linear_Search ( Array X, Value i) Set j to 1. If j > n, jump to step 7. If X [j] == i, jump to step 6. Then, increment j by 1 i.e. j = j+1. Go back to step 2. Display the element i which is found at particular index i, then jump to step 8. Display element not found in the set of input elements.

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