runtime complexity

Runtime complexity refers to how the time it takes for an algorithm to complete increases as the size of its input grows. It's a way to measure the efficiency of an algorithm, often expressed with big O notation, which describes the worst-case scenario. For example, some processes take longer as input sizes grow, but the increase might be linear, quadratic, or even exponential. Understanding runtime complexity helps developers choose or design algorithms that perform efficiently even with large amounts of data, ensuring better performance and scalability in computer programs.