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Asymptotic computational complexity

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TL;DR. Analyzing algorithm efficiency as input size grows infinitely large.

Technical Definition

Analyzing algorithm efficiency as input size grows infinitely large.

How it works

Asymptotic computational complexity is a method used in computer science to describe how the runtime or memory usage of an algorithm scales as the input size increases indefinitely. It is typically expressed using Big O notation, which provides an upper bound on the growth rate, helping to compare the efficiency of different algorithms for large datasets.

Related Concepts

  • Big O notation — A mathematical notation used to describe the performance or complexity of an algorithm as input size grows.

Further Reading

  • Wikipedia — Glossary of AI