What is the difference between Heap and Red-Black Tree?
What is Heap?
A Heap is a special Tree-based data structure in which the tree is a complete binary tree. There are two types of heap – Min heap and Max heap.
To learn more about heap, go through the following article: Introduction to Heap
What is a Red-Black Tree?
- The red-Black tree is a self-balancing binary search tree in which each node contains an extra bit for denoting the color of the node, either red or black.
Differences between Heap and Red-Black Tree
Red Black Tree
|1.||You can’t find an arbitrary element in a heap in O(log N).||1. You can find an arbitrary element in a Red-Black Tree in O(log N).|
|2.||Implement using a complete binary tree.||2. Implement using a self-balancing binary search tree.|
|3.||Ordering, parent < children in Min Heap and parent > children in Max Heap.||3. Ordering, left child < parent < right child.|
|4.||The structure is implicit, the root is at position 0, and children of the root are at 1 and 2, so no overhead per element.||4. Pointers are used to represent the structure of the tree, so overhead per element.|
|5.||Typical use, priority queue, and heap sort.||5. Typical use, TreeSet, TreeMap, and Hashmap in the Java Collections Library and ordered map in C++ STL.|
|6.||Heap does not support efficient search operation||Red-black tree provides efficient search operations due to its ordered binary search tree data structure.|
|7.||Requires less space than red-black tree.||Requires more space as it stores data of colour.|
|8.||Specialized data structure.||General-purpose data structure.|
|9.||Heap has a simpler deletion operation compared to red-black tree since it only involves removing the root node and then fixing the heap property by swapping nodes.||Red-black tree, on the other hand, requires more complex rotations and color changes to maintain the balance property.|
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