Understand how greedy algorithms make locally optimal choices at each step to find a global optimum solution, covering concepts like the greedy choice property and optimal substructure.
Greedy Algorithms Definition An algorithmic approach that makes the locally optimal choice at each step, hoping this leads to a globally optimal solution. When Greedy Works Effective when a problem has the greedy choice property (a global optimum can be reached by local choices) and optimal substructure. Classic Examples Activity Selection: choosing the maximum number of non-overlapping...…
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