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Top Dynamic Programming Questions

Q: What is a dynamic programming question?

When a question builds its solution using the solutions of its subproblems, it is a dynamic programming question. Dynamic programming breaks a problem down into smaller subproblems and uses the answer to the smallest subproblem to build the final solution bottom up.

Q: What are the conditions for dynamic programming?

It must satisfy the optimal substructure or the overlapping subproblems property. When the subproblems of a bigger problem are overlapping, we need not find the answer to the same subproblem again and again. Instead we can compute it for once and store it in a container to be used later.

Q: Can Dynamic Programming solve all questions?

Dynamic programming is not a solution to all problems. For a problem to be solved using dynamic programming, it should satisfy the following conditions: Optimal Substructure: The optimal solution to a problem contains the optimal solutions to its subproblems as well. Overlapping subproblems: The number of subproblems of a problem should be finite and computable.

Q: What problems can be solved with dynamic programming?

For a problem to be solved using dynamic programming, it should satisfy the following conditions: Optimal Substructure: The optimal solution to a problem contains the optimal solutions to its subproblems as well. Overlapping subproblems: The number of subproblems of a problem should be finite and computable.

Q: When should I start dynamic programming?

Dynamic programming necessitates a more in-depth level of thought. It is better to have a firm understanding of recursion before attempting to solve dynamic programming problems. Apart from that, a decent knowledge of arrays, loops, etc. is obviously necessary beforehand.

Last Updated: 25 Mar, 2023

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