THINK++ — Engineering Visualized

📖 LESSON

Greedy Basics

The greedy algorithm makes the best choice at each step, hoping that these local optimal choices lead to a global optimal solution.

Greedy Choice Property

A global optimum can be reached by making local optimum choices.

Optimal Substructure

An optimal solution to the problem contains optimal solutions to subproblems.

Greedy Basics

Simulation Lab v2.0

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💡 Greedy Warning

Greedy doesn't always work! For example, the greedy choice in the 0/1 Knapsack problem leads to a sub-optimal solution. Always verify your greedy logic with a proof or multiple test cases.

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