Add quick sort.

This commit is contained in:
Oleksii Trekhleb 2018-04-15 08:42:01 +03:00
parent 250d90af3c
commit c7110be47e
5 changed files with 158 additions and 10 deletions

View File

@ -36,7 +36,8 @@
* [Insertion Sort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/insertion-sort)
* [Heap Sort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/heap-sort)
* [Merge Sort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/merge-sort)
* [Quick Sort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/quick-sort)
* [Quicksort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/quick-sort)
* [Shellsort](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/sorting/shell-sort)
## Running Tests
@ -106,11 +107,12 @@ Below is the list of some of the most used Big O notations and their performance
### Array Sorting Algorithms Complexity
| Name | Best | Average | Worst | Memory | Stable |
| --------------------- | :-------: | :-------: | :-------: | :-------: | :-------: |
| **Bubble 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 |
| **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 |
| **Quick sort** | n log(n) | n log(n) | n^2 | log(n) | No |
| Name | Best | Average | Worst | Memory | Stable |
| --------------------- | :-------: | :-------: | :-----------: | :-------: | :-------: |
| **Bubble 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 |
| **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 |
| **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 |

View File

@ -32,7 +32,7 @@ export class SortTester {
expect(sorter.sort([''])).toEqual(['']);
expect(sorter.sort(['a'])).toEqual(['a']);
expect(sorter.sort(['aa', 'a'])).toEqual(['a', 'aa']);
expect(sorter.sort(['aa', 'q', 'a', 'bbbb', 'ccc'])).toEqual(['q', 'a', 'aa', 'ccc', 'bbbb']);
expect(sorter.sort(['aa', 'q', 'bbbb', 'ccc'])).toEqual(['q', 'aa', 'ccc', 'bbbb']);
expect(sorter.sort(['aa', 'aa'])).toEqual(['aa', 'aa']);
}
@ -49,6 +49,7 @@ export class SortTester {
const sorter = new SortingClass(callbacks);
expect(sorter.sort(['bb', 'aa', 'c'])).toEqual(['c', 'bb', 'aa']);
expect(sorter.sort(['aa', 'q', 'a', 'bbbb', 'ccc'])).toEqual(['q', 'a', 'aa', 'ccc', 'bbbb']);
}
static testAlgorithmTimeComplexity(SortingClass, arrayToBeSorted, numberOfVisits) {

View File

@ -0,0 +1,48 @@
# Shellsort
Shellsort, also known as Shell sort or Shell's method,
is an in-place comparison sort. It can be seen as either a
generalization of sorting by exchange (bubble sort) or sorting
by insertion (insertion sort). The method starts by sorting
pairs of elements far apart from each other, then progressively
reducing the gap between elements to be compared. Starting
with far apart elements, it can move some out-of-place
elements into position faster than a simple nearest neighbor
exchange
![Shellsort](https://upload.wikimedia.org/wikipedia/commons/d/d8/Sorting_shellsort_anim.gif)
## How Shell Sort Works
For our example and ease of understanding, we take the interval
of `4`. Make a virtual sub-list of all values located at the
interval of 4 positions. Here these values are
`{35, 14}`, `{33, 19}`, `{42, 27}` and `{10, 44}`
![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_gap_4.jpg)
We compare values in each sub-list and swap them (if necessary)
in the original array. After this step, the new array should
look like this
![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_step_1.jpg)
Then, we take interval of 2 and this gap generates two sub-lists
- `{14, 27, 35, 42}`, `{19, 10, 33, 44}`
![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_gap_2.jpg)
We compare and swap the values, if required, in the original array.
After this step, the array should look like this
![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_step_2.jpg)
Finally, we sort the rest of the array using interval of value 1.
Shell sort uses insertion sort to sort the array.
![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort.jpg)
## References
* [Tutorials Point](https://www.tutorialspoint.com/data_structures_algorithms/shell_sort_algorithm.htm)
* [Wikipedia](https://en.wikipedia.org/wiki/Shellsort)

View File

@ -0,0 +1,41 @@
import Sort from '../Sort';
export default class ShellSort extends Sort {
sort(originalArray) {
// Prevent original array from mutations.
const array = originalArray.slice(0);
// Define a gap distance.
let gap = Math.floor(array.length / 2);
// Until gap is bigger then zero do elements comparisons and swaps.
while (gap > 0) {
// Go and compare all distant element pairs.
for (let i = 0; i < (array.length - gap); i += 1) {
let currentIndex = i;
let gapShiftedIndex = i + gap;
while (currentIndex >= 0) {
// Call visiting callback.
this.callbacks.visitingCallback(array[currentIndex]);
// Compare and swap array elements if needed.
if (this.comparator.lessThen(array[gapShiftedIndex], array[currentIndex])) {
const tmp = array[currentIndex];
array[currentIndex] = array[gapShiftedIndex];
array[gapShiftedIndex] = tmp;
}
gapShiftedIndex = currentIndex;
currentIndex -= gap;
}
}
// Shrink the gap.
gap = Math.floor(gap / 2);
}
// Return sorted copy of an original array.
return array;
}
}

View File

@ -0,0 +1,56 @@
import ShellSort from '../ShellSort';
import {
equalArr,
notSortedArr,
reverseArr,
sortedArr,
SortTester,
} from '../../SortTester';
// Complexity constants.
const SORTED_ARRAY_VISITING_COUNT = 320;
const NOT_SORTED_ARRAY_VISITING_COUNT = 320;
const REVERSE_SORTED_ARRAY_VISITING_COUNT = 320;
const EQUAL_ARRAY_VISITING_COUNT = 320;
describe('ShellSort', () => {
it('should sort array', () => {
SortTester.testSort(ShellSort);
});
it('should sort array with custom comparator', () => {
SortTester.testSortWithCustomComparator(ShellSort);
});
it('should visit EQUAL array element specified number of times', () => {
SortTester.testAlgorithmTimeComplexity(
ShellSort,
equalArr,
EQUAL_ARRAY_VISITING_COUNT,
);
});
it('should visit SORTED array element specified number of times', () => {
SortTester.testAlgorithmTimeComplexity(
ShellSort,
sortedArr,
SORTED_ARRAY_VISITING_COUNT,
);
});
it('should visit NOT SORTED array element specified number of times', () => {
SortTester.testAlgorithmTimeComplexity(
ShellSort,
notSortedArr,
NOT_SORTED_ARRAY_VISITING_COUNT,
);
});
it('should visit REVERSE SORTED array element specified number of times', () => {
SortTester.testAlgorithmTimeComplexity(
ShellSort,
reverseArr,
REVERSE_SORTED_ARRAY_VISITING_COUNT,
);
});
});