Dynamic Programming Questions
The space complexity of a Dynamic Programming solution depends on the specific problem and the approach used to solve it. In general, it can range from O(1) to O(n), where n represents the size of the input.
If the Dynamic Programming solution only requires a constant amount of extra space to store intermediate results, the space complexity would be O(1). However, if the solution requires a table or array to store and retrieve intermediate results, the space complexity would be O(n), where n is the size of the input.