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In dynamic programming, what is memoization?
Practice Questions
Q1
In dynamic programming, what is memoization?
A technique to store results of expensive function calls
A method to sort data efficiently
A way to represent data in a tree structure
A technique to optimize space complexity
Questions & Step-by-Step Solutions
In dynamic programming, what is memoization?
Steps
Concepts
Step 1: Understand that dynamic programming is a method for solving problems by breaking them down into simpler subproblems.
Step 2: Recognize that some subproblems may be solved multiple times, which can be inefficient.
Step 3: Learn that memoization is a way to remember the results of these subproblems.
Step 4: When a function is called with certain inputs, check if the result is already stored (cached).
Step 5: If the result is stored, use that result instead of recalculating it.
Step 6: If the result is not stored, calculate it, store it for future use, and then return the result.
No concepts available.
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