Data Structures and Algorithms
Primary version
Primary version
  • Data Structures and Algorithms
  • Algorithms Analysis
    • Measuring Resource Consumption
    • Growth Rates
    • Asymptotic Notation
    • Analysis of Linear Search
    • Analysis of Binary Search
    • How to do an analysis in 5 steps
  • Recursion
    • Writing a recursive function
    • How do recursive functions work?
    • Analysis of a Recursive Function
    • Drawbacks of Recursion and Caution
  • Lists
    • Implementation
    • Linked List
      • Concepts
      • Implementation - List and Nodes
      • Implementation - push_front(), pop_front()
      • Implementation - Iterators
      • Modification - Sentinel Nodes
  • Stacks and Queues
    • Stack Implementation
    • Queue Implementation
  • Table
    • A Simple Implementation
    • Hash Tables
      • Bucketing
      • Chaining
      • Linear Probing
  • Sorting
    • Simple Sorts
      • Bubble Sort
      • Insertion Sort
      • Selection Sort
    • Merge Sort
    • Quick Sort
    • Heap and Heap Sort
      • Priority Queues using Binary Heaps
      • Heapify and Heap Sort
  • Trees
    • Binary Trees
    • Binary Search Trees
    • BST Implemenation
    • Iterative Methods
    • Recursive Methods
  • AVL Trees
  • Red Black Trees
  • 2-3 Trees
  • Graphs
  • Introduction to Computational Theory
  • Appendix: Markdown
  • Appendix: Mathematics Review
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  1. Sorting

Heap and Heap Sort

Heap Sort is a sort based on the building and destroying of a binary heap. The binary heap is an implementation of a Priority Queue. Normally, when you have a queue, the first value in is the first value out. However with a priority Queue the value that comes out of the queue next depends on the priority of that value.

Basic operations on the binary Heap include:

  • insert - add an item to the binary heap

  • delete - removes the item with the highest priority in the binary heap.

The idea for the Heap sort is this: put every value in the array into the binary heap using its value as the priority, then repeated call delete to remove the smallest value and put it back into the array.

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Last updated 6 years ago