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#### Linear Search Algorithms

1. Summary Table
2. 7 Advantages of Linear Search
3. 5 Disadvantages of Linear Search

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## Summary Table

Linear Search
Simplicity and ease of implementationWorst case time complexity is O(N)
Best case time complexity of O(1)Not suitable for Sorted data
Average case is same as Worst Case: Constant expectationNot suitable for frequent searches
No additional memory space requiredNot suitable for data structures with non-sequential access
Best searching algorithm for data with < 512 elementsNot suitable for very large data
Works on any data structure that allows sequential access-
Can handle frequently changing data-

## 7 Advantages of Linear Search

The Advantages of Linear Search are as follows:

1. Simplicity and ease of implementation

Linear Search is the most basic algorithm and consists of only a loop to traverse through all the elements.

1. Best case time complexity of O(1)

The best case time complexity is O(1) so in specific cases, Linear Search can be expected to give the correct answer immediately.

1. Average case is same as Worst Case: Constant expectation

The time complexity for average case is same as the worst case that is O(N). So, on average, the performance or execution time of Linear Search will be almost same so users can expect the execution duration accordingly.

1. No additional memory space required

As there is no addition memory requirement, it is one of the preferred algorithms for searching when they is restriction on memory and no maximum time requirement.

1. Best searching algorithm for data with < 512 elements

Linear Search is best search algorithms for small datasets where the number of elements is less than 512.

1. Works on any data structure that allows sequential access

Any data structure that allows sequential access like array is best suited for Linear Search.

1. Can handle frequently changing data

There is no change in the algorithm or any extra performance overhead in case of changing dataset like adding new elements or deleting a few elements.

## 5 Disadvantages of Linear Search

The Disadvantages of Linear Search are as follows:

1. Worst case time complexity is O(N)

The worst case time complexity of Linear Search is O(N) that is in all cases, one needs to traverse the entire dataset. Other search algorithms exist that have better time complexity.

1. Not suitable for Sorted data

When data is sorted, Linear Search is not suitable because it does not take advantage of the sorted data.

1. Not suitable for frequent searches

When same search is done frequently, Linear Search takes the same time everytime. This is an overhead as the algorithm should cache frequent search like a cache.

1. Not suitable for data structures with non-sequential access

If we are dealing with data structures like Linked List which have non-sequential access, Linear Search is not a good approach as sequential access is required for each element and the non-sequential access becomes an overhead.

1. Not suitable for very large data

When we are dealing with a huge dataset, linear search should not even be an option. Using Linear Search on a large dataset can deal progress by a significant amount of time.