Computational Complexity

Computational complexity refers to the study of the resources required to solve computational problems, such as time and space, and how these resources scale with the size of the input. Understanding computational complexity is crucial for developers and researchers to design efficient algorithms, predict performance, and tackle challenging problems in fields like cryptography, optimization, and artificial intelligence, making it a fundamental concept in computer science and a key consideration in tech innovation.