1.选择排序
let sort = (numbers) => {
for (let i = 0; i < numbers.length - 1; i++) {
let index = minIndex(numbers.slice(i)) + i
if (index !== i) {
swap(numbers, index, i)
}
}
return numbers
}
let swap = (array, i, j) => {
let temp = array[i]
array[i] = array[j]
array[j] = temp
}
let minIndex = (numbers) => {
let index = 0
for (let i = 1; i < numbers.length; i++) {
if (numbers[i] < numbers[index]) {
index = i
}
}
return index
}
2.快速排序
let quickSort = arr => {
if (arr.length <= 1) { return arr; }
let pivotIndex = Math.floor(arr.length / 2);
let pivot = arr.splice(pivotIndex, 1)[0];
let left = [];
let right = [];
for (let i = 0; i < arr.length; i++) {
if (arr[i] < pivot) {
left.push(arr[i])
} else { right.push(arr[i]) }
}
return quickSort(left).concat(
[pivot], quickSort(right))
}
3.归并排序
let mergeSort = arr => {
let k = arr.length
if (k === 1) { return arr }
let left = arr.slice(0, Math.floor(k / 2))
let right = arr.slice(Math.floor(k / 2))
return merge(mergeSort(left), mergeSort(right))
}
let merge = (a, b) => {
if (a.length === 0) return b
if (b.length === 0) return a
return a[0] > b[0] ?
[b[0]].concat(merge(a, b.slice(1))) :
[a[0]].concat(merge(a.slice(1), b))
}
4.计数排序
let countSort = arr => {
let hashTable = {}, max = 0, result = []
for (let i = 0; i < arr.length; i++) {
if (!(arr[i] in hashTable)) {
hashTable[arr[i]] = 1
} else {
hashTable[arr[i]] += 1
}
if (arr[i] > max) { max = arr[i] }
}
for (let j = 0; j <= max; j++) {
if (j in hashTable) {
for (let i = 0; i < hashTable[j]; i++) {
result.push(j)
}
}
}
return result
}