Comparison between different types of Heap
Here’s a simplified comparison table highlighting key characteristics of different types of Heap data structures:
types of Heap | Property | Structure | Merge Operation | Decrease Key Operation | Amortized Time Complexity |
---|---|---|---|---|---|
Binary Heap | Min or Max | Complete Binary Tree | O(log n) | O(log n) | O(1) (for insert) |
Min Heap | Min | Complete Binary Tree | O(log n) | O(log n) | O(1) (for insert) |
Max Heap | Max | Complete Binary Tree | O(log n) | O(log n) | O(1) (for insert) |
Binomial Heap | Min | Forest of Binomial Trees | O(1) (amortized) | O(log n) | O(log n) |
Fibonacci Heap | Min | Collection of Trees | O(1) (amortized) | O(1) (amortized) | O(1) (amortized) |
D-ary Heap | Min or Max | Complete D-ary Tree | O(log_d n) | O(log_d n) | O(1) (for insert) |
Pairing Heap | Min | Pairing of Trees | O(1) (amortized) | O(1) (amortized) | O(1) (amortized) |
Leftist Heap | Min | Leftist Tree | O(log n) | O(log n) | O(1) (for insert) |
Skew Heap | Min or Max | Skewed Tree | O(log n) | O(log n) | O(1) (for insert) |
B-Heap | Min or Max | B-ary Tree | O(log_b n) | O(log_b n) | O(1) (for insert) |
Types of Heap Data Structure
Different types of heap data structures include fundamental types like min heap and max heap, binary heap and many more. In this post, we will look into their characteristics, and their use cases. Understanding the characteristics and use cases of these heap data structures helps in choosing the most suitable one for a particular algorithm or application. Each type of heap has its own advantages and trade-offs, and the choice depends on the specific requirements of the problem at hand.
Table of Content
- 1. Binary Heap
- 2. Min Heap
- 3. Max Heap
- 4. Binomial Heap
- 5. Fibonacci Heap
- 6. D-ary Heap
- 7. Pairing Heap
- 8. Leftist Heap
- 9. Skew Heap
- 10. B-Heap
- Comparison between different types of Heap
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