Linear Time

Linear time refers to a way of measuring how long an algorithm takes to complete, where the time increases directly in proportion to the size of the input data. For example, if you have to check each item in a list once, doubling the list's size will roughly double the time needed. In essence, the performance scales linearly, making it predictable and manageable for larger datasets. This concept helps evaluate and compare how efficiently algorithms handle increasing amounts of information.