Advanced Data Structures & Algorithms in Java: Working with the Binary Heap

Java    |    Intermediate
  • 16 videos | 1h 57m 21s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 15 users Rating 4.6 of 15 users (15)
The binary heap, the data structure used to implement a priority queue, is an interesting data structure. Recognizing how best to work with the binary heap is part of creating sturdy and fast software programs. In this course, you'll explore the binary heap data structure used to implement a priority queue in a performant and efficient manner. You'll recognize how the binary heap is essentially a binary tree that satisfies two additional constraints: the heap property and the shape property. You'll examine how the binary heap can be represented using an array and how it allows us to implement add, remove, and access operations on a priority queue in an extremely high-performing manner. Finally, you'll learn how the binary heap helps us implement an efficient sort algorithm: the heap sort.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Explain the common operations to be performed on a priority queue
    Describe how a binary heap data structure functions
    Explain the array implementation of a binary heap
    Summarize the heapify operation on a binary heap
    Recognize how insert and remove works on a binary heap
    Write code for the base class operations in a binary heap
    Implement the maximum heap
  • Perform operations on a maximum heap
    Implement the minimum heap
    Recognize the functioning of the heap sort algorithm
    Describe how the heapify in the heap sort works
    Explain how the heap sort is used for sorting
    Write code for the heapify operation in heap sort
    Implement the sort functionality in heap sort
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 58s
  • 7m 29s
    After completing this video, you will be able to explain the common operations to be performed on a priority queue. FREE ACCESS
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    3.  The Binary Heap
    7m 11s
    Upon completion of this video, you will be able to describe how a binary heap data structure works. FREE ACCESS
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    4.  Binary Heap: Implementation
    8m 32s
    After completing this video, you will be able to explain the array implementation of a binary heap. FREE ACCESS
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    5.  Binary Heap: Heapify
    6m 17s
    In this video, you will learn how to summarize the heapify operation on a binary heap. FREE ACCESS
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    6.  Binary Heap: Insert and Remove
    8m 28s
    After completing this video, you will be able to recognize how to insert and remove works on a binary heap. FREE ACCESS
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    7.  The Heap Base Class
    11m 17s
    In this video, you will write code for the base class operations in a binary heap. FREE ACCESS
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    8.  The Maximum Heap
    6m 56s
    In this video, you will learn how to implement a maximum heap. FREE ACCESS
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    9.  Operations on a Maximum Heap
    5m 58s
    Find out how to perform operations on a heap with a maximum size. FREE ACCESS
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    10.  The Minimum Heap and Operations on a Minimum Heap
    9m 40s
    In this video, you will learn how to implement a minimum heap. FREE ACCESS
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    11.  Heap Sort
    4m 18s
    After completing this video, you will be able to recognize the functioning of the heap sort algorithm. FREE ACCESS
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    12.  Heap Sort: Heapify
    9m 9s
    Upon completion of this video, you will be able to describe how heapify works in the heap sort. FREE ACCESS
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    13.  Heap Sort: Sort
    12m 1s
    After completing this video, you will be able to explain how the heap sort is used for sorting. FREE ACCESS
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    14.  Implementing Heapify
    10m 34s
    In this video, learn how to write code for the heapify operation in a heap sort. FREE ACCESS
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    15.  Implementing Sort
    6m 16s
    In this video, you will learn how to implement the sort functionality in a heap sort. FREE ACCESS
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    16.  Course Summary
    1m 16s

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