GREEDY ALGORITHM

 

🟢 Easy Meaning:

Greedy algorithms solve problems step by step, and at each step:

• They choose the best option available right now (this is called a locally optimal choice).

• They do not think about the future or entire solution.

• The hope is that by choosing the best at each step, you will end up with the best overall answer (called the global optimum).

   

   

  When to Use Greedy Algorithms

  Greedy algorithms are appropriate when:

• The problem has optimal substructure

• The greedy choice property holds

• You need an efficient, though not necessarily perfect, solution

• The problem is an optimization problem where local optimality leads to global optimality

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