In dynamic programming, what is the 'optimal substructure' property?

The optimal solution can be constructed from optimal solutions of its subproblems
The problem can be solved in linear time
The solution requires sorting the input data
The problem can be solved using a greedy approach

In dynamic programming, what is the 'optimal substructure' property?

Step 1: Understand that some problems can be broken down into smaller parts called subproblems.
Step 2: Recognize that if you solve these smaller parts optimally, you can use those solutions to build the solution to the larger problem.
Step 3: Realize that the 'optimal substructure' property means the best solution for the whole problem is made up of the best solutions for the subproblems.
Step 4: Think of it like building a house: if each room (subproblem) is built perfectly, the whole house (main problem) will also be great.

No concepts available.