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    ← DSA Roadmap
    πŸƒ
    Topic #10

    Greedy Algorithms

    Greedy algorithms make locally optimal choices at each step. Key is proving that local optimal leads to global optimal.

    Time

    Usually O(n log n) due to sorting

    Space

    O(1) to O(n)

    Problems

    4 must-do

    Key Patterns

    Activity Selection
    Interval Scheduling
    Huffman Coding
    Fractional Knapsack
    Jump Game

    πŸ“‹ Must-Do Problems

    #ProblemDifficultyAsked At
    1Jump Game
    Medium
    Amazon
    Microsoft
    Google
    2Non-overlapping Intervals
    Medium
    Google
    Amazon
    Meta
    3Gas Station
    Medium
    Amazon
    Google
    Goldman Sachs
    4Task Scheduler
    Medium
    Meta
    Amazon
    Google

    πŸ’‘ Key Concepts

    1.

    Greedy works when: (1) Greedy choice property + (2) Optimal substructure

    2.

    Sort by end time for interval problems

    3.

    If greedy doesn't work, try DP

    4.

    Proving greedy correctness: show that swapping any non-greedy choice doesn't improve the result

    Continue Practicing

    DSA Roadmap DSA Interview Q&A Practice Games