hxx/javascript-algorithms
1
0
Fork 0
mirror of https://github.moeyy.xyz/https://github.com/trekhleb/javascript-algorithms.git synced 2024-11-14 06:52:59 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update READMEs.

Browse Source
This commit is contained in:
Oleksii Trekhleb 2018-06-22 15:04:28 +03:00
parent e53f5f909d
commit b65a992452
2 changed files with 30 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

40
README.md
View File

@ -216,27 +216,27 @@ Below is the list of some of the most used Big O notations and their performance
### Data Structure Operations Complexity ### Data Structure Operations Complexity
| Data Structure | Access | Search | Insertion | Deletion | Comments | | Data Structure | Access | Search | Insertion | Deletion | Comments |
| ----------------------- | :-------: | :-------: | :-------: | :-------: | :-------- | | ----------------------- | :---------: | :---------: | :---------: | :---------: | :-------- |
| **Array** | 1 | n | n | n | | | **Array** | `1` | `n` | `n` | `n` | |
| **Stack** | n | n | 1 | 1 | | | **Stack** | `n` | `n` | `1` | `1` | |
| **Queue** | n | n | 1 | 1 | | | **Queue** | `n` | `n` | `1` | `1` | |
| **Linked List** | n | n | 1 | 1 | | | **Linked List** | `n` | `n` | `1` | `1` | |
| **Hash Table** | - | n | n | n | In case of perfect hash function costs would be O(1) | | **Hash Table** | - | `n` | `n` | `n` | In case of perfect hash function costs would be `O(1)` |
| **Binary Search Tree** | n | n | n | n | In case of balanced tree costs would be O(log(n)) | | **Binary Search Tree** | `n` | `n` | `n` | `n` | In case of balanced tree costs would be `O(log(n))` |
| **B-Tree** | log(n) | log(n) | log(n) | log(n) | | | **B-Tree** | `log(n)` | `log(n)` | `log(n)` | `log(n)` | |
| **Red-Black Tree** | log(n) | log(n) | log(n) | log(n) | | | **Red-Black Tree** | `log(n)` | `log(n)` | `log(n)` | `log(n)` | |
| **AVL Tree** | log(n) | log(n) | log(n) | log(n) | | | **AVL Tree** | `log(n)` | `log(n)` | `log(n)` | `log(n)` | |
### Array Sorting Algorithms Complexity ### Array Sorting Algorithms Complexity
| Name | Best | Average | Worst | Memory | Stable | Comments | | Name | Best | Average | Worst | Memory | Stable | Comments |
| --------------------- | :-------: | :-------: | :-----------: | :-------: | :-------: | :-------- | | --------------------- | :---------: | :---------: | :-------------: | :---------: | :-------: | :-------- |
| **Bubble sort** | n | n^2 | n^2 | 1 | Yes | | | **Bubble sort** | `n` | `n^2` | `n^2` | `1` | Yes | |
| **Insertion sort** | n | n^2 | n^2 | 1 | Yes | | | **Insertion sort** | `n ` | `n^2` | `n^2` | `1` | Yes | |
| **Selection sort** | n^2 | n^2 | n^2 | 1 | No | | | **Selection sort** | `n^2` | `n^2` | `n^2` | `1` | No | |
| **Heap sort** | n log(n) | n log(n) | n log(n) | 1 | No | | | **Heap sort** | `n log(n)` | `n log(n)` | `n log(n)` | `1` | No | |
| **Merge sort** | n log(n) | n log(n) | n log(n) | n | Yes | | | **Merge sort** | `n log(n)` | `n log(n)` | `n log(n)` | `n` | Yes | |
| **Quick sort** | n log(n) | n log(n) | n^2 | log(n) | No | | | **Quick sort** | `n log(n)` | `n log(n)` | `n^2` | `log(n)` | No | |
| **Shell sort** | n log(n) | depends on gap sequence | n (log(n))^2 | 1 | No | | | **Shell sort** | `n log(n)` | depends on gap sequence | `n (log(n))^2` | `1` | No | |
| **Counting sort** | n + r | n + r | n + r | n + r | Yes | r - biggest number in array | | **Counting sort** | `n + r` | `n + r` | `n + r` | `n + r` | Yes | `r` - biggest number in array |
| **Radix sort** | n * k | n * k | n * k | n + k | Yes | k - length of longest key | | **Radix sort** | `n * k` | `n * k` | `n * k` | `n + k` | Yes | `k` - length of longest key |

10
src/algorithms/sorting/bubble-sort/README.md
View File

@ -11,9 +11,15 @@ are needed, which indicates that the list is sorted.
## Complexity ## Complexity
###### time: worst _O_(_n_<sup>2</sup>), best _O_(_n_), average _O_(_n_<sup>2</sup>) Time
###### space: worst _O_(1) auxiliary - worst _O_(_n_<sup>2</sup>),
- best _O_(_n_),
- average _O_(_n_<sup>2</sup>)
Space
worst _O_(1) auxiliary
## References ## References