In the context of dynamic programming, what does 'memoization' refer to?

In the context of dynamic programming, what does 'memoization' refer to?

Step 1: Understand that dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems.
Step 2: Recognize that some of these subproblems may be solved multiple times during the process.
Step 3: Learn that memoization is a way to remember the results of these subproblems so that we don't have to solve them again.
Step 4: Realize that when we use memoization, we store the results in a data structure (like a dictionary or array).
Step 5: When we encounter the same subproblem again, we can simply look up the stored result instead of recalculating it.
Step 6: This saves time and makes our program more efficient.

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