Programming for Mathematical Applications
Linear growth refers to a situation where a quantity increases at a constant rate over time. In terms of algorithm complexity, this means that as the size of the input increases, the time or space required by the algorithm also increases in direct proportion, typically expressed in Big O notation as O(n). This concept is crucial for understanding how algorithms perform as they handle larger datasets and helps in comparing the efficiency of different algorithms.
congrats on reading the definition of linear growth. now let's actually learn it.