In the context of dynamic programming, what is memoization?

Practice Questions

Q1
In the context of dynamic programming, what is memoization?
  1. A method to optimize space complexity
  2. A technique to store results of expensive function calls
  3. A way to reduce time complexity
  4. A strategy for greedy algorithms

Questions & Step-by-Step Solutions

In the context of dynamic programming, what is memoization?
  • 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 subproblems may be solved multiple times during the computation.
  • Step 3: Learn that memoization is a way to remember the results of these subproblems.
  • Step 4: When a subproblem is solved, its result is stored in a data structure (like a dictionary or array).
  • Step 5: The next time the same subproblem is encountered, the stored result is used instead of recalculating it.
  • Step 6: This saves time and makes the overall computation faster.
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