In this article, we try to learn how to conduct a linear search in JavaScript, what is linear search with an example, what is meant by linear search, Linear Search in JavaScript, global Linear Search, An Implementation of Linear Search in JavaScript, what is Linear Search in JavaScript, and what is linear search in JavaScript.

What is Linear Search in JavaScript

Firstly, we need to know what is linear search in JavaScript, the Linear Search algorithm is a set of instructions to traverse the given list and also check every element in the list until we will find whatever element we are looking for.

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So, a technical term for the element we are looking for is – key.

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If we get the element, we will return the position of the element and if the element we are looking for does not exist in the list, we actually return -1.

An Implementation of Linear Search in JavaScript

Now, we can cross through the given list using a for loop. Go below to check the implementation of the Linear Search example:

function linearSearch(arr, key){
for(let i = 0; i < arr.length; i++){
if(arr[i] === key){
return i
}
}
return -1
}

Although, in this case, the element doesn’t exist in our list, the linearSearch function won’t return any i value from the loop and we return -1 after the loop to show that the function did not find the desired element.

Global Linear Search

Now, in the previous implementation, we can return a value after we come across the first occurrence of the element we are looking for (key). But what if we want the indices of all the occurrences of a given element?

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So, look at the example below for the implementation of the global linear search:

function globalLinearSearch(arr, key){
    let results = []
    for(let i = 0; i < arr.length; i++){
        if(arr[i] === key){
            results.push(i)
        }
    }
    // If results array is empty, return -1
    if(!results){
        return -1
    }

    return results
}

Finally, we implemented the algorithm in JavaScript and we have seen the logic behind linear search and then used that knowledge. Also, we looked at the time complexity for the linear search algorithm.

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