run-time analysis

Run-time analysis is a method used to evaluate how long a computer program takes to execute as its input size changes. It helps to estimate the efficiency of algorithms by categorizing their performance, often expressed in terms of "big O" notation (like O(n) or O(log n)). This notation provides a high-level understanding of how the execution time grows relative to the input size, allowing developers to compare different algorithms and choose the most efficient one for their needs. Ultimately, run-time analysis ensures programs run effectively and efficiently, especially with larger data sets.