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Heap Data Structure | Trees Part I
Data Structure & Algorithms PART I
course content

Course Content

Data Structure & Algorithms PART I

Data Structure & Algorithms PART I

1. Introduction to ADS
2. Data Structures Part I
3. Trees Part I
4. Trees Part II

bookHeap Data Structure

Heap is a binary tree. The binary tree doesn’t look like the traditional Homo sapiens family: children have only 1 parent, and this 1 parent may have only two children maximum. There are 2 types of heaps:

  • Max-heap: when each parent's value is more significant than its children's value;
  • Min-heap: when each parent's value is lower than its children’s value.

Let’s learn some basic heap operations:

  • Heapify;
  • Insert;
  • Deletion.

Heapify

Heapify is a process of creating a heap data structure from a binary tree.

Once the tree is composed, it is needed to create precisely the heap(max-/min-heap).

To do that, we need to replace nodes due to the rules of the max-/min-heap.

In the next chapter, we will practice heaping.

Insertion It is straightforward to insert an element into the heap. We need to:

  • Insert it as a leave (the end branches);
  • Perform heapifying.

Deletion

To delete the node from the heap, you need to:

  • Swap the element you want to delete with the last element;
  • Delete the last element;
  • Perform heapifying.
Choose options with the heap Data Structure.

Choose options with the heap Data Structure.

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Section 3. Chapter 4
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