Algorithm Design Questions
The space complexity of an algorithm refers to the amount of memory or storage space required by the algorithm to solve a problem. It measures the maximum amount of memory used by the algorithm as the input size increases. Space complexity is typically expressed in terms of Big O notation, which provides an upper bound on the amount of space required by the algorithm.