What are the limitations of dynamic programming?

What are the limitations of dynamic programming?

Dynamic programming is powerful, but it has limitations such as high memory usage and difficulty in problem formulation.

Can you explain why memory usage is a limitation?

Sure! Dynamic programming often requires storing intermediate results, which can lead to significant memory consumption.

Are there specific types of problems where dynamic programming is not effective?

Yes, problems with overlapping subproblems and optimal substructure are ideal for dynamic programming; others may not benefit.

What alternatives exist if dynamic programming isn't suitable?

Alternatives include greedy algorithms, backtracking, or even brute force methods, depending on the problem's nature.

How can I determine if a problem is suitable for dynamic programming?

Look for overlapping subproblems and optimal substructure; if both are present, dynamic programming may be a good fit.