Exponential Space

Exponential space refers to the amount of memory an algorithm or computation requires, growing very rapidly as the size of the input increases. Specifically, if the input size is \(n\), the needed memory might grow proportionally to \(2^n\). This means that doubling the input size can cause the memory requirements to double, quadruple, or increase even more dramatically. Such space consumption becomes impractical very quickly for large inputs, making exponential space generally infeasible for real-world applications where resources are limited.