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In dynamic programming, what is memoization?

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Question: In dynamic programming, what is memoization?

Options:

  1. A technique to store results of expensive function calls
  2. A method to sort data efficiently
  3. A way to represent data in a tree structure
  4. A technique to optimize space complexity

Correct Answer: A technique to store results of expensive function calls

Solution: 

Memoization is a technique used in dynamic programming to store the results of expensive function calls and reuse them when the same inputs occur again.

In dynamic programming, what is memoization?

Practice Questions

Q1
In dynamic programming, what is memoization?
  1. A technique to store results of expensive function calls
  2. A method to sort data efficiently
  3. A way to represent data in a tree structure
  4. A technique to optimize space complexity

Questions & Step-by-Step Solutions

In dynamic programming, what is memoization?
  • 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.
  • Memoization – A technique in dynamic programming that involves storing the results of expensive function calls to avoid redundant calculations.
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