1.选择排序
let sort = (numbers) => {
for(let i=0; i< numbers.length -1; i++){
console.log(`----`)
console.log(`i:${i}`)
let index = minIndex(numbers.slice(i))+ i
console.log(`index: ${index}`)
console.log(`min: ${numbers[index]}`)
if(index!==i){
swap(numbers, index, i)
console.log(`swap ${index}: ${i}`)
console.log(numbers)
}
}
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
if (arr[i] < pivot){
left.push(arr[i])
} else {i
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
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
if(j in hashTable){
for(let i = 0
result.push(j)
}
}
}
return result
}