Computational Theory Questions
Time complexity is a measure used in computational theory to analyze the efficiency of an algorithm. It refers to the amount of time required by an algorithm to run as a function of the input size. Time complexity is typically expressed using Big O notation, which provides an upper bound on the growth rate of the algorithm's running time. It helps in understanding how the algorithm's performance scales with larger inputs and allows for comparing different algorithms to determine which one is more efficient.