In a dynamic programming approach, what is the primary technique used to optimize recursive solutions?
Practice Questions
1 question
Q1
In a dynamic programming approach, what is the primary technique used to optimize recursive solutions?
Memoization
Backtracking
Greedy Method
Divide and Conquer
Memoization is the technique used in dynamic programming to store the results of expensive function calls and reuse them when the same inputs occur again.
Questions & Step-by-step Solutions
1 item
Q
Q: In a dynamic programming approach, what is the primary technique used to optimize recursive solutions?
Solution: Memoization is the technique used in dynamic programming to store the results of expensive function calls and reuse them when the same inputs occur again.
Steps: 6
Step 1: Understand that dynamic programming is a method used to solve problems by breaking them down into simpler subproblems.
Step 2: Recognize that some problems can be solved using recursion, where a function calls itself to solve smaller parts of the problem.
Step 3: Identify that recursive solutions can be inefficient because they may solve the same subproblems multiple times.
Step 4: Learn about memoization, which is a technique that saves the results of expensive function calls.
Step 5: Realize that with memoization, when the same inputs occur again, the stored result can be reused instead of recalculating it.
Step 6: Conclude that memoization optimizes recursive solutions by reducing the number of calculations needed.
