Space Complexity

Space complexity measures the amount of memory a program uses as a function of the size of its input data. It accounts for all the memory needed during execution, including both the space for variables and data structures, as well as any additional space required by algorithms. A program with high space complexity may slow down due to excessive memory use, while efficient space usage can lead to faster performance and the ability to handle larger datasets. Understanding this concept is essential for designing efficient algorithms in computing and programming.