There are several types of algorithms, all designed to accomplish different tasks. For example, algorithms perform the following :
* Search engine algorithm : This algorithm takes search stringsof keywords and operators as input, searches its associated database for relevant webpages and returns results.
* Encryption algorithm : This computing algorithm transforms data according to specified actions to protect it. A symmetric key algorithm, such as the Data Encryption Standard, for example, uses the same keyto encrypt and decrypt data. As long as the algorithm is sufficiently sophisticated, no one lacking the key can decrypt the data.
* Greedy algorithm : This algorithm solves optimization problems by finding the locally optimal solution, hoping it is the optimal solution at the global level. However, it does not guarantee the most optimal solution.
* Recursive algorithm : This algorithm calls itself repeatedly until it solves a problem. Recursive algorithms call themselves with a smaller value every time a recursive function is invoked.
* Backtracking algorithm : This algorithm finds a solution to a given problem in incremental approaches and solves it one piece at a time.
* Divide-and-conquer algorithm : This common algorithm is divided into two parts. One part divides a problem into smaller subproblems. The second part solves these problems and then combines them together to produce a solution.
* Dynamic programming algorithm : This algorithm solves problems by dividing them into subproblems. The results are then stored to be applied for future corresponding problems.
* Brute-force algorithm : This algorithm iterates all possible solutions to a problem blindly, searching for one or more solutions to a function.
* Sorting algorithm : Sorting algorithms are used to rearrange data structure based on a comparison operator, which is used to decide a new order for data.
* Hashing algorithm : This algorithm takes data and converts it into a uniform message with a hashing
* Randomized algorithm : This algorithm reduces running times and time-based complexities. It uses random elements as part of its logic.
