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  • Data Structures and Algorithms
  • Arrayschevron-right
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  • Stack and Queuechevron-right
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  • Disjoint Sets(Union-Find)chevron-right
  • Heap and Priority Queuechevron-right
    • Concepts of Heapchevron-right
    • 1.Kth Largest Element in an Array
    • 2.Kth Largest Element in a Stream
    • 3.Top K Frequent Elements
    • 4.Kth Smallest Element in a Sorted Matrix
    • 5. Find Kth Largest XOR Coordinate Value
    • 6. Top K Frequent Words
    • 7. Find Median from Data Stream
    • 8. Maximum Average Pass Ratio
    • 9. Longest Happy String
    • 10. K Closest Points to Origin
    • 11. Reorganize String
    • 12. Find the Kth Largest Integer in the Array
    • 13. Smallest range in K lists
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  • Sorting-Algorithms
    • Merge Sort
    • Quick Sort
    • Heap Sort
    • Selection Sort
    • Bubble Sort
    • Insertion Sort
  • Expected Interview MCQ and Questions c++
  • Concepts in C++
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  • 💾DBMS
    • Introduction
    • RBMS
    • JOINS
    • SQL
  • 🖥️OS
    • OS and Its Types
    • Process Concept and Threads
    • Process Synchronization
    • Deadlock in Operating System
    • Memory Management
    • Imp Questions of OS for Interviews
  • 🚙OOPS
    • Introduction and Definitions
  • 📨COMPUTER-NETWORKS
    • OSI | TCP IP Model
    • Topology
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Heap and Priority Queue

1.Kth Largest Element in an Arraychevron-right2.Kth Largest Element in a Streamchevron-right3.Top K Frequent Elementschevron-right4.Kth Smallest Element in a Sorted Matrixchevron-right7. Find Median from Data Streamchevron-right8. Maximum Average Pass Ratiochevron-right9. Longest Happy Stringchevron-right10. K Closest Points to Originchevron-right11. Reorganize Stringchevron-right12. Find the Kth Largest Integer in the Arraychevron-right13. Smallest range in K listschevron-right
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Last updated 4 years ago