# Brute Force Algorithms

Learn about brute force algorithms.

Start## Key Concepts

Review core concepts you need to learn to master this subject

Brute Force Algorithms

Searching for smallest or largest value using linear search

Linear Search best case

Linear Search Complexity

Linear Search expressed as a Function

Return value of a linear search

Modification of linear search function

Linear search

Brute Force Algorithms

Brute Force Algorithms

```
# pseudocode that prints all divisors of n by brute force
define printDivisors, n
for all numbers from 1 to n
if the number is a divisor of n
print the number
```

- A brute force algorithm solves a problem through exhaustion: it goes through all possible choices until a solution is found.
- The time complexity of a brute force algorithm is often proportional to the input size.
- Brute force algorithms are simple and consistent, but very slow.

Linear Search: Conceptual

Lesson 1 of 2

- 1Imagine that you are a DJ at a party. The diagram on the right shows your playlist for the event. A party guest wants to know if “Uptown Funk” by Bruno Mars is a song on your playlist. You would …
- 2Linear search can be used to search for a desired value in a list. It achieves this by examining each of the elements and comparing it with the search element starting with the first element to the…
- 3Linear search is not considered the most efficient search algorithm, especially for lists of large magnitudes. However, linear search is a great choice if you expect to find the target value at the…
- 4There are two worst cases for linear search.
**Case 1:**when the target value at the end of the list. … - 5If this search was used 1000 times on 1000 different lists, some of them would be the best case, some the worst. For most searches, it would be somewhere in between. On average it would be in the…
- 6Linear search runs in linear time. Its efficiency can be expressed as a linear function, with the number of comparisons to find a target increasing linearly as the size of the list, N, increases. …

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