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When solving dynamic programming problems in interviews, it is important to follow certain tips and strategies:

• Understand the problem: Before starting to solve a dynamic programming problem, take the time to fully understand the problem statement and requirements.

• Identify subproblems: Break down the problem into smaller subproblems that can be solved independently. This will help in finding the optimal solution _.

• Define the recurrence relation: Determine how the solutions to the subproblems contribute to the overall solution. This is usually done through a recurrence relation or formula.

• Choose a suitable approach: Decide whether to use a top-down (recursive) approach or a bottom-up (iterative) approach based on the problem requirements and constraints.

• Optimize for time and space: Analyze the time and space complexity of your solution. Look for opportunities to optimize the algorithm to ensure efficiency.

By mastering dynamic programming and practicing solving dynamic programming problems, you can greatly improve your chances of success in coding interviews.