Space complexity refers to the amount of memory or space required by an algorithm to run and solve a problem. It is a measure of the amount of memory that an algorithm needs in order to execute, including the input size and any extra space used by the algorithm itself. It is also known as auxiliary space complexity. Space complexity is important to consider when analyzing the efficiency or scalability of an algorithm, as it can impact the overall performance and memory usage of a program.
