/*
* The some classical sorting algorithms, implement with JavaScript
* Author: mengshi
* Date: 2018.05.12
*/
/*
* Name: bubble sort
* Time: O(n^2), best ~ O(n), worst ~ O(n^2)
* Space: O(1)
* Stability: yes
* Feature: exchange algorithms
*/
function bubble(arr) {
for (var i=0; i < arr.length; i++) {
for (var j=arr.length; j >= i j--) {
if (arr[j] > arr[j+1]) {
[arr[j], arr[j+1]] = [arr[j+1], arr[j]];
}
}
}
return arr;
}
/*
* Name: select sort
* Time: O(n^2), best ~ O(n^2), worst ~ O(n^2)
* Space: O(1)
* Stability: yes
* Feature: select algorithms
*/
function select(arr) {
for (var i=0; i < arr.length; i++) {
var min = i;
for (var j=arr.length; j > i; j--) {
if (arr[j] < arr[min]) {
min = j;
}
}
if (i != min) {
[arr[i], arr[min]] = [arr[min], arr[i]]
}
}
return arr;
}
/*
* Name: insert sort
* Time: O(n^2), best ~ O(n), worst ~ O(n^2)
* Space: O(1)
* Stability: yes
* Feature: insert algorithms
*/
function insert_sort(arr, step) {
for (var i = step; i < arr.length; i+=step) {
var mi = i;
while (mi-step >= 0 && arr[mi-step] > arr[mi]) {
[arr[mi], arr[mi-step]] = [arr[mi-step], arr[mi]];
mi-=step;
}
}
}
function insert(arr) {
insert_sort(arr, 1);
}
/*
* Name: shell sort
* Time: O(nlogn) ~ O(n^2), best ~ O(nlogn), worst ~ O(n^2)
* Space: O(1)
* Stability: no
* Feature: insert algorithms
*/
function shell(arr) {
var l = arr.length;
while ((l = parseInt(l/2)) >= 1) {
insert_sort(arr, l);
}
}
/*
* Name: merge sort
* Time: O(nlogn), best ~ O(nlogn), worst ~ O(nlogn)
* Space: O(n)
* Stability: yes
* Feature: merge algorithms
*/
function merge_sort(left, right) {
var temp = []
while (left.length > 0 && right.length > 0) {
var x = left.shift(), y = right.shift()
if (x <= y) {
temp.push(x);
right.unshift(y);
} else {
temp.push(y);
left.unshift(x);
}
}
if (left.length == 0) {
return temp.concat(right);
} else {
return temp.concat(left);
}
}
function merge(arr) {
if (arr.length <= 1) {
return arr;
}
var left = arr.slice(0, arr.length/2);
var right = arr.slice(arr.length/2);
return merge_sort(merge(left), merge(right));
}
/*
* Name: heap sort
* Time: O(nlogn), best ~ O(nlogn), worst ~ O(nlogn)
* Space: O(1)
* Stability: no
* Feature: select algorithms
*/
function heap_adjust(arr, l, n) {
var temp = arr[l];
for(var j = l*2; j <= n; j*=2) {
if (j < n && arr[j] < arr[j+1]) {
j++;
}
if (temp >= arr[j]) {
break;
}
arr[l] = arr[j];
l = j;
}
arr[l] = temp;
}
function heap(arr) {
var n = arr.length - 1
for (var l = parseInt(n/2); l >= 0; l--) {
heap_adjust(arr, l, n);
}
for (; n >= 0; n--) {
[arr[0], arr[n]] = [arr[n], arr[0]]
heap_adjust(arr, 0, n-1);
}
}
/*
* Name: quick sort
* Time: O(nlogn), best ~ O(nlogn), worst ~ O(n^2)
* Space: O(logn) - O(n)
* Stability: no
* Feature: exchange algorithms
*/
function partition(arr, low, high) {
var key = arr[low];
while (low < high) {
while (low < high && arr[high] >= key) {
high--;
}
[arr[low], arr[high]] = [arr[high], arr[low]];
while (low < high && arr[low] <= key) {
low++;
}
[arr[low], arr[high]] = [arr[high], arr[low]];
}
return low;
}
function quick_sort(arr, low, high) {
if (low < high) {
pivot = partition(arr, low, high);
quick_sort(arr, low, pivot-1);
quick_sort(arr, pivot+1, high);
}
}
function quick(arr) {
quick_sort(arr, 0, arr.length-1);
}
/*
* program main function
*/
function main() {
var arr = new Array(50, 10, 90, 30, 70, 40, 80, 60, 20);
shell(arr);
console.info(arr);
}
main();
一些经典排序算法的实现
最后编辑于 :
©著作权归作者所有,转载或内容合作请联系作者
- 文/潘晓璐 我一进店门,熙熙楼的掌柜王于贵愁眉苦脸地迎上来,“玉大人,你说我怎么就摊上这事。” “怎么了?”我有些...
- 文/花漫 我一把揭开白布。 她就那样静静地躺着,像睡着了一般。 火红的嫁衣衬着肌肤如雪。 梳的纹丝不乱的头发上,一...
- 文/苍兰香墨 我猛地睁开眼,长吁一口气:“原来是场噩梦啊……” “哼!你这毒妇竟也来了?” 一声冷哼从身侧响起,我...
推荐阅读更多精彩内容
- 直接选择排序和直接插入排序类似,都将数据分为有序区和无序区,所不同的是直接播放排序是将无序区的第一个元素直接插入到...