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    Learning PathDSAHeap and Priority Queue Patterns
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    Pattern 8 of 15

    Heap and Priority Queue Patterns

    Master heap-based algorithms including top K elements, two heaps for median, K-way merge, and scheduling problems with priority queues.

    Subpatterns

    4

    Est. Time

    60 min

    Subpatterns

    1.

    K-way Merge Using Heap

    Master K-way merge pattern using min heap. Merge k sorted lists and find kth smallest in matrix.

    2.

    Top K Elements - Selection and Frequency

    Find top K elements using heap. Solve kth largest, top K frequent, and k closest points problems.

    3.

    Scheduling and Minimum Cost Problems

    Solve scheduling and optimization problems using priority queue with greedy approach.

    4.

    Two Heaps for Finding Median

    Master the two heaps technique to find median from data stream in O(log n) time.

    Start Learning Heap and Priority Queue Patterns

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