Greedy and DP which divides Data and which divides the domain?

Question

Accepted Answer

Greedy algorithm divides the domain, while Dynamic Programming divides the data.

Greedy algorithm focuses on making the best choice at each step without considering the overall solution, dividing the domain into subproblems.
Dynamic Programming breaks down a problem into smaller subproblems and solves each subproblem only once, dividing the data into overlapping subproblems.
Example: In the Knapsack problem, Greedy algorithm would choose items based on immediate benefit, while Dynamic Programming would consider all possible combinations.
Example: In the Coin Change problem, Greedy algorithm may not always find the optimal solution, while Dynamic Programming guarantees the optimal solution.

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