复杂的插入排序
时间. O(n2)
空间 O(1)
function sort(arr) {
for (i = 0; i < arr.length-1;i++) {
for (j = i + 1; j < arr.length; j++) {
if (arr[i] > arr[j]) {
let tp = arr[i]
arr[i] = arr[j]
arr[j] = tp
}
}
}
}
let arr = [2, 1, 3, 8, 4, 6]
sort(arr)
console.log(arr)
复杂的插入排序
时间. O(nlog2n)
空间 O(1)
function heapAdjust(arr, parentIdx, length) {
let childIdx = parentIdx * 2 + 1
while (childIdx=0 ;i--) {
heapAdjust(arr,i,arr.length)
}
}
function heapSort(arr) {
for (let i = arr.length - 1; i >= 0; i--){
//把最小的交换到数组最后
let tp = arr[i]
arr[i] = arr[0]
arr[0] = tp
heapAdjust(arr,0,i)
}
console.log(arr)
}
let arr = [2, 1, 3, 8, 4, 6]
buildHeap(arr)
heapSort(arr)
function insertSort(arr) {
for (i =0; i= 0; j--){
if (arr[j] < arr[j - 1]) {
let tp = arr[j]
arr[j] = arr[j - 1]
arr[j-1]=tp
}
}
}
return arr
}
let arr = [2, 1, 3, 8, 4, 6]
let re = insertSort(arr)
console.log(re)```
复杂的插入排序
时间 O(n2)
空间 O(1)
function insertSort(arr) {
for (let d = Math.floor(arr.length / 2); d >= 1; d=Math.floor(d / 2)) {
for (let i = 0; i < d; i++){
for (let j = i;ji ;k-=d) {
if (arr[k] < arr[k - d]) {
let tp = arr[k]
arr[k] = arr[k - d]
arr[k-d]=tp
}
}
}
}
}
return arr
}
let arr = [2, 1, 3, 8, 4, 6]
let re = insertSort(arr)
console.log(re)
function sort(left, right) {
let r = []
while (left.length && right.length) {
if (left[0] < right[0]) {
r.push(left.shift())
} else {
r.push(right.shift())
}
}
r.push(...left,...right)
return r
}
function mergeSort(arr) {
if (arr.length > 1) {
let mid = Math.floor(arr.length / 2)
let left = arr.slice(0, mid)
let right = arr.slice(mid)
return sort(mergeSort(left),mergeSort(right))
}
return arr
}
let arr = [2, 1, 3, 8, 4, 6]
console.log(mergeSort(arr))