ALGORITHM ANALYSIS

Greedy Algorithms

Master greedy algorithm strategies including activity selection, fractional knapsack, Huffman coding, and minimum spanning trees.

greedyoptimizationactivity-selectionhuffmanspanning-trees

Deck Overview

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Intermediate
37

Total Cards

~4

Minutes Study Time

intermediate

Difficulty Level

Card 1 of 373% complete
Question
What is a greedy algorithm?
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Answer
A **greedy algorithm** makes the **locally optimal choice** at each step, hoping to find a global optimum. **Key characteristics**: - **Myopic decisions**: Makes best choice available at current step - **No backtracking**: Never reconsiders previous choices - **Irrevocable choices**: Cannot undo decisions once made - **Optimistic approach**: Assumes local optimum leads to global optimum **Strategy**: "Take what looks best right now" without considering future consequences. **Not always optimal**: Works only for problems with specific mathematical properties.

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