# big-theta notation

Published articles for big-theta notation.

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## Big-O Notation--A Primer

DevFeed: [Big-O Notation--A Primer](<https://devfeed.tech/articles/big-o-notation-a-primer-40201.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/2011/06/14/big-o-notation-a-primer/>)

Published: 2011-06-14T16:26:27Z

Content type: tutorial

Language: en

Sources: [Jeremy Kun](<https://devfeed.tech/sources/jeremy-kun.md>)

Topics: [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [Mathematics](<https://devfeed.tech/topics/mathematics.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [big-o-notation](<https://devfeed.tech/tags/big-o-notation.md>), [big-theta-notation](<https://devfeed.tech/tags/big-theta-notation.md>), [complexity](<https://devfeed.tech/tags/complexity.md>), [computational-complexity](<https://devfeed.tech/tags/computational-complexity.md>), [example](<https://devfeed.tech/tags/example.md>), [limits](<https://devfeed.tech/tags/limits.md>), [mathematics](<https://devfeed.tech/tags/mathematics.md>), [measurement](<https://devfeed.tech/tags/measurement.md>), [primer](<https://devfeed.tech/tags/primer.md>), [real-analysis](<https://devfeed.tech/tags/real-analysis.md>), [time](<https://devfeed.tech/tags/time.md>)

### AI overview

This primer introduces Big-O notation as a way to describe an algorithm's runtime growth. It defines the notation mathematically and illustrates it with a list-summing algorithm characterized as O(n), while also distinguishing Big-Theta notation.

### Source excerpt

The Quest to Capture Speed Companies and researchers spend hundreds of millions of dollars for the fruits of their algorithms. Whether one is indexing websites on the internet for search, folding proteins, or figuring out which warehouse is the most cost-effective to ship a product from, improvements in algorithm speed save immense amounts of money. It's no surprise then, that a similarly immense amount of money has gone into the mathematics behind algorithm analysis.