What is the primary difference between top-down and bottom-up approaches in dyna

What is the primary difference between top-down and bottom-up approaches in dynamic programming?

What is the primary difference between top-down and bottom-up approaches in dynamic programming?

Step 1: Understand that dynamic programming is a method for solving problems by breaking them down into simpler subproblems.
Step 2: Learn about the top-down approach, which starts with the main problem and breaks it down into smaller subproblems using recursion.
Step 3: In the top-down approach, use memoization to store the results of subproblems so you don't have to solve them again.
Step 4: Now, learn about the bottom-up approach, which starts with the smallest subproblems and builds up to the main problem iteratively.
Step 5: In the bottom-up approach, you solve all subproblems in a specific order and store their results in a table.
Step 6: Remember that the key difference is that top-down uses recursion and memoization, while bottom-up builds the solution step by step.

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