# Most important algorithms in computer science

## Algorithms Quotes (33 quotes)

## Data Structures and Algorithms Complete Tutorial Computer Education for All

## Top 10 Algorithms and Data Structures for Competitive Programming

The linear and binary algorithms are named as such to describe how long time complexity a search is going to take based on the size of the input that is being search. For example, with linear search algorithms, if you have items to search then the worst case scenario would require that you look at every item in the input before you came across your desired value. You already know what Lin looks like, so you simply have to look at each person, one by one, in sequence, until you recognize or fail to recognize Lin. In doing so, you are following the linear search algorithm. The process continues until the spot where the input is split becomes the item that is being searched. Binary search is basically just a highly disciplined approach to the process of elimination. An example should make this more clear.

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Algorithms can be found in many fields of science such as physics, math, and computing. They have a long history with some being more influential than others. Algorithms are used by all of us all the time with or without our direct knowledge. It turns out algorithms have a long and illustrious history stretching back as far as the Babylonians. But which of these popular and complex calculation processes could be considered some of the most important? Their true significance only came to light around when computer scientist and mathematician Donald E.

Along with above algorithms, every computer science student is expected to implement below data structures – Trie Implementation | Insert, Search and Delete.

The Most Important Algorithms (Survey)

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The following is a list of algorithms along with one-line descriptions for each.

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