Explain the different strategies available for problem solving.

In programming, problem-solving is a multifaceted process that involves various strategies to tackle challenges efficiently. Here are some common strategies:

1. Divide and Conquer: Break down the problem into smaller, more manageable subproblems. Solve each subproblem individually and then combine their solutions to solve the original problem. This strategy is often implemented using recursion or iteration.

2. Dynamic Programming: Store the results of subproblems in memory to avoid redundant computations. Dynamic programming is particularly useful for problems with overlapping subproblems, such as finding ___ _______ _______ ______ ___ ______.
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