Definition
A measure of the resources required to run an algorithm as a function of input size.
Detailed Explanation
Computational complexity describes how the running time (time complexity) or memory usage (space complexity) of an algorithm scales with input size. It's typically expressed in Big O notation which provides an upper bound on resource usage. Understanding complexity is crucial for designing efficient algorithms and systems.
Use Cases
Algorithm optimization system design resource planning
