What is the main characteristic of problems that can be solved using dynamic programming?
Practice Questions
1 question
Q1
What is the main characteristic of problems that can be solved using dynamic programming?
Optimal substructure
Greedy choice property
Linear time complexity
Constant space complexity
The main characteristic of problems that can be solved using dynamic programming is the optimal substructure, meaning that the optimal solution can be constructed from optimal solutions of its subproblems.
Questions & Step-by-step Solutions
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Q
Q: What is the main characteristic of problems that can be solved using dynamic programming?
Solution: The main characteristic of problems that can be solved using dynamic programming is the optimal substructure, meaning that the optimal solution can be constructed from optimal solutions of its subproblems.
Steps: 4
Step 1: Understand what dynamic programming is. It is a method for solving complex problems by breaking them down into simpler subproblems.
Step 2: Identify the main characteristic of problems suitable for dynamic programming. This characteristic is called 'optimal substructure.'
Step 3: Learn what 'optimal substructure' means. It means that the best solution to a problem can be formed by combining the best solutions to its smaller parts (subproblems).
Step 4: Recognize that if you can find the best solutions to the subproblems, you can use those to build the best solution to the overall problem.
