What are some common pitfalls to avoid when designing a dynamic programming solution?
- Incorrect Base Cases
- Not Optimizing Space Complexity
- Not Optimizing Time Complexity
- Overlapping Subproblems
Common pitfalls in dynamic programming include not recognizing overlapping subproblems, which leads to redundant computations; setting incorrect base cases, which can cause incorrect results; not optimizing space complexity, resulting in excessive memory usage; and not optimizing time complexity, leading to inefficient algorithms. Avoiding these pitfalls ensures efficient and correct dynamic programming solutions.
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