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  1. Jan 25, 2023 · Linear search implementation in c#. Linear search, also known as sequential search, is a simple algorithm used to find a specific value in an array or list. It works by iterating through each element of the array or list and comparing it to the target value. If the target value is found, the index of the element is returned.

  2. Linear Search Programming Algorithm in C#. Linear search, also known as sequential search is an algorithm for finding a target value within a list. It sequentially checks each element of the list for the target value until a match is found or until all the elements have been searched.

  3. Jul 5, 2024 · The linear search algorithm is defined as a sequential search algorithm that starts at one end and goes through each element of a list until the desired element is found; otherwise, the search continues till the end of the dataset. In this article, we will learn about the basics of the linear search algorithm, its applications, advantages ...

  4. Here is the code from example searching/searching.cs to perform a linear search for an integer in an array: 1 /// Return the index of the first position in data 2 /// where item appears, or -1 if item does not appear. 3 public static int IntArrayLinearSearch ( int [] data , int item ) 4 { 5 int N = data .

  5. Feb 15, 2024 · Linear search is a basic yet essential algorithm used for searching elements within an array or list. While it may not be the most efficient for large datasets, it serves as a fundamental concept ...

  6. May 25, 2021 · Linear Search Function. Consider the linear function as “LinearSearch(arr,value)” where arr is the array to search inside of; where value is the element, we are searching for in array “arr ...

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  8. Aug 6, 2021 · Instead of using those primitive data types, I'm reimplementing the algorithms and data structures using C#'s generic type parameters. Here's a console application with a generic method LinearSearchSequence to perform a linear search looking not for just one T, but a sequence of T:

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