Algorithm Complexity

Algorithm complexity refers to the measure of an algorithm's efficiency in terms of time and space requirements, typically expressed as a function of input size. Understanding algorithm complexity is crucial in the tech community as it directly impacts the performance, scalability, and reliability of software applications, allowing developers to make informed decisions when designing and optimizing code for large datasets and complex systems.