Adding Heap time complexities

Author: trekhleb

src/data-structures/heap/README.md

@@ -33,6 +33,31 @@ to the key of `C`
 The node at the "top" of the heap with no parents is
 called the root node.
 
+## Time Complexities
+
+Here are time complexities of various heap data structures. Function names assume a max-heap.
+
+| Operation | find-max | delete-max | insert| increase-key| meld |
+| --------- | -------- | ---------- | ----- | ----------- | ---- |
+|[Binary](https://en.wikipedia.org/wiki/Binary_heap)|`Θ(1)`|`Θ(log n)`|`O(log n)`|`O(log n)`|`Θ(n)`|
+|[Leftist](https://en.wikipedia.org/wiki/Leftist_tree)|`Θ(1)`|`Θ(log n)`|`Θ(log n)`|`O(log n)`|`Θ(log n)`|
+|[Binomial](https://en.wikipedia.org/wiki/Binomial_heap)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`O(log n)`|`O(log n)`|
+|[Fibonacci](https://en.wikipedia.org/wiki/Fibonacci_heap)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`Θ(1)`|`Θ(1)`|
+|[Pairing](https://en.wikipedia.org/wiki/Pairing_heap)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`o(log n)`|`Θ(1)`|
+|[Brodal](https://en.wikipedia.org/wiki/Brodal_queue)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`Θ(1)`|`Θ(1)`|
+|[Rank-pairing](https://en.wikipedia.org/w/index.php?title=Rank-pairing_heap&action=edit&redlink=1)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`Θ(1)`|`Θ(1)`|
+|[Strict Fibonacci](https://en.wikipedia.org/wiki/Fibonacci_heap)|`Θ(1)`|`Θ(log n)`|`Θ(1)`|`Θ(1)`|`Θ(1)`|
+|[2-3 heap](https://en.wikipedia.org/wiki/2%E2%80%933_heap)|`O(log n)`|`O(log n)`|`O(log n)`|`Θ(1)`|`?`|
+
+Where:
+-**find-max (or find-min):** find a maximum item of a max-heap, or a minimum item of a min-heap, respectively (a.k.a. *peek*)
+-**delete-max (or delete-min):** removing the root node of a max heap (or min heap), respectively
+-**insert:** adding a new key to the heap (a.k.a., *push*)
+-**increase-key or decrease-key:** updating a key within a max- or min-heap, respectively
+-**meld:** joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps.
+
+> In this repository, the [MaxHeap.js](./MaxHeap.js) and [MinHeap.js](./MinHeap.js) are examples of the **Binary** heap.
+
 ## References
 
 -[Wikipedia](https://en.wikipedia.org/wiki/Heap_(data_structure))