Leftist Heap
Leftist heap is a variant of the binary heap that introduces a “null path length” property. This property aids in efficiently maintaining the heap structure during merge operations.
- Characteristics:
- Maintains a “null path length” property.
- Uses:
- Efficient merge operations.
- Applications:
- Mergeable priority queues.
- Huffman coding.
Problem | Description |
---|---|
Merge Two Leftist Heaps | Efficiently merge two leftist heaps into a single leftist heap. |
Priority Queue Operations (Leftist Heap) | Implement basic operations like insertion and extraction in a leftist heap. |
Convert Array to Leftist Heap | Convert an array into a leftist heap efficiently. |
Delete Operation (Leftist Heap) | Implement the delete operation in a leftist heap. |
Shortest Path Algorithms (Leftist Heap) | Use a leftist heap to implement efficient shortest path algorithms. |
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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