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Add comments to data-structure complexity table.
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README.md
@ -199,17 +199,17 @@ Below is the list of some of the most used Big O notations and their performance
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### Data Structure Operations Complexity
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| Data Structure | Access | Search | Insertion | Deletion |
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| ----------------------- | :-------: | :-------: | :-------: | :-------: |
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| **Array** | 1 | n | n | n |
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| **Stack** | n | n | 1 | 1 |
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| **Queue** | n | n | 1 | 1 |
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| **Linked List** | n | n | 1 | 1 |
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| **Hash Table** | - | n | n | n |
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| **Binary Search Tree** | n | n | n | n |
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| **B-Tree** | log(n) | log(n) | log(n) | log(n) |
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| **Red-Black Tree** | log(n) | log(n) | log(n) | log(n) |
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| **AVL Tree** | log(n) | log(n) | log(n) | log(n) |
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| Data Structure | Access | Search | Insertion | Deletion | Comments |
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| ----------------------- | :-------: | :-------: | :-------: | :-------: | :-------- |
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| **Array** | 1 | n | n | n | |
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| **Stack** | n | n | 1 | 1 | |
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| **Queue** | n | n | 1 | 1 | |
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| **Linked List** | n | n | 1 | 1 | |
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| **Hash Table** | - | n | n | n | In case of perfect hash function costs would be O(1) |
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| **Binary Search Tree** | n | n | n | n | |
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| **B-Tree** | log(n) | log(n) | log(n) | log(n) | |
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| **Red-Black Tree** | log(n) | log(n) | log(n) | log(n) | |
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| **AVL Tree** | log(n) | log(n) | log(n) | log(n) | |
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### Array Sorting Algorithms Complexity
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