排序的介紹
排序是算法最常用的一種運算之一,數據記錄到數據庫,都需要經過排序輸出到客戶端上。不然亂輸出不規整的數據,是難以閱讀的。
本文章介紹幾種最常用見的排序方法:冒泡排序,選擇排序,插入排序,歸併排序和快速排序。
冒泡排序
冒泡排序是從運行時間的角度上來看,最差的一個。因爲冒泡排序回比較任何兩週相鄰的項,如果第一個比第二個大,則交換它們。
選擇排序
選擇排序的思路是找到數據結構中的最小值並將其放置在第一位,接着找到第二小的值放在第二位,以此類推。
插入排序
插入排序每次排一個數組項,以此方式構建最後的排序數組。假定第一項已經排序了,接着,它和第二項進行比較,第二項是應該待在原位還是插到第一項之前呢?這樣,頭兩就已正常排序,接着和第三項比較(它是該插入到第一、第二還是第三位置呢?)以此類推。
歸併排序
歸併排序是第一個可以被實際使用的排序算法。而javascript中的array類的sort在firefox瀏覽器上 就是用這種排序的。歸併排序是一種分治算法。其思想是將原始數組切分成較小的數組,知道每個小數組只有一個位置,接着將小數組歸併成較大的數組,直到最後只有一個排序完畢的大數組。
快速排序
快速排序也許是最常用的排序算法。和歸併排序一樣,快速排序也使用分治的方法,將原始數組分位較小的數組(但它沒有像歸併排序那樣將它們分割開)。這個重點說下過程。
- 首先,從數組中選擇中間一項作爲主元。
- 創建兩個指針,左邊一個指向數組第一個項,右邊一個指向數組最後一個項。移動左指針直到我們找到一個比主元大的元素,接着,移動右指針直到找到一個比主元小的元素,然後交換它們,重複這個過程,直到左指針超過了右指針。這個過程將使得比主元小的值都排在主元之前,而比主元大的值都排在主元之後。這一步叫作劃分操作。
- 接着,算法對劃分後的小數組(較主元小的值組成的子數組,以及較主元大的值組成的子數組)重複之前的兩個步驟,直至數組已完全排序。
排序的算法實例
function createNonSortedArray(size){
var array = new ArrayList();
for (var i = size; i> 0; i--){
array.insert(i);
}
return array;
}
function createRandomNonSortedArray(){
var array = new ArrayList();
array.insert(3);
array.insert(5);
array.insert(1);
array.insert(6);
array.insert(4);
array.insert(7);
array.insert(2);
return array;
}
function printArray(array){
console.log(array.toString());
}
function createNonSortedArrayAndPrint(size){
var array = createNonSortedArray(size);
printArray(array);
return array;
}
var array = createNonSortedArrayAndPrint(5);
array.bubbleSort();//5,4,3,2,1
array = createNonSortedArrayAndPrint(5);
array.modifiedBubbleSort();//5,4,3,2,1
array = createNonSortedArrayAndPrint(5);
array.selectionSort();//5,4,3,2,1
array = createNonSortedArrayAndPrint(5);
array.insertionSort();//5,4,3,2,1
array = createNonSortedArrayAndPrint(8);
array.mergeSort();//8,7,6,5,4,3,2,1
array = createRandomNonSortedArray();
array.quickSort();//1,2,3,4,5,6,7
ES6排序完整實現代碼:
let ArrayList = (function() {
class ArrayList {
constructor() {
this.array = [];
}
insert(item) {
this.array.push(item);
}
swap(array, index1, index2) {
var aux = this.array[index1];
this.array[index1] = this.array[index2];
this.array[index2] = aux;
}
toString() {
return this.array.join();
}
array() {
return this.array;
}
bubbleSort() {
var length = this.array.length;
for(var i = 0; i < length; i++) {
console.log('--- ');
for(var j = 0; j < length - 1; j++) {
console.log('compare ' + this.array[j] + ' with ' + this.array[j + 1]);
if(this.array[j] > this.array[j + 1]) {
console.log('swap ' + this.array[j] + ' with ' + this.array[j + 1]);
this.swap(this.array, j, j + 1);
}
}
}
};
modifiedBubbleSort() {
var length = this.array.length;
for(var i = 0; i < length; i++) {
console.log('--- ');
for(var j = 0; j < length - 1 - i; j++) {
console.log('compare ' + this.array[j] + ' with ' + this.array[j + 1]);
if(this.array[j] > this.array[j + 1]) {
console.log('swap ' + this.array[j] + ' with ' + this.array[j + 1]);
this.swap(j, j + 1);
}
}
}
};
selectionSort() {
var length = this.array.length,
indexMin;
for(var i = 0; i < length - 1; i++) {
indexMin = i;
console.log('index ' + this.array[i]);
for(var j = i; j < length; j++) {
if(this.array[indexMin] > this.array[j]) {
console.log('new index min ' + this.array[j]);
indexMin = j;
}
}
if(i !== indexMin) {
console.log('swap ' + this.array[i] + ' with ' + this.array[indexMin]);
this.swap(i, indexMin);
}
}
};
insertionSort() {
var length = this.array.length,
j, temp;
for(var i = 1; i < this.length; i++) {
j = i;
temp = this.array[i];
console.log('to be inserted ' + temp);
while(j > 0 && this.array[j - 1] > temp) {
console.log('shift ' + this.array[j - 1]);
this.array[j] = this.array[j - 1];
j--;
}
console.log('insert ' + temp);
this.array[j] = temp;
}
};
insertionSort_(array) {
var length = array.length,
j, temp;
for(var i = 1; i < length; i++) {
j = i;
temp = array[i];
while(j > 0 && array[j - 1] > temp) {
array[j] = array[j - 1];
j--;
}
this.array[j] = temp;
}
};
mergeSort() {
this.array = this.mergeSortRec(this.array);
};
mergeSortRec(array) {
var length = array.length;
if(length === 1) {
console.log(array);
return array;
}
var mid = Math.floor(length / 2),
left = array.slice(0, mid),
right = array.slice(mid, length);
return this.merge(this.mergeSortRec(left), this.mergeSortRec(right));
};
merge(left, right) {
var result = [],
il = 0,
ir = 0;
while(il < left.length && ir < right.length) {
if(left[il] < right[ir]) {
result.push(left[il++]);
} else {
result.push(right[ir++]);
}
}
while(il < left.length) {
result.push(left[il++]);
}
while(ir < right.length) {
result.push(right[ir++]);
}
console.log(result);
return result;
};
quickSort() {
this.quick(this.array, 0, this.array.length - 1);
};
partition(array, left, right) {
var pivot = array[Math.floor((right + left) / 2)],
i = left,
j = right;
console.log('pivot is ' + pivot + '; left is ' + left + '; right is ' + right);
while(i <= j) {
while(array[i] < pivot) {
i++;
console.log('i = ' + i);
}
while(array[j] > pivot) {
j--;
console.log('j = ' + j);
}
if(i <= j) {
console.log('swap ' + array[i] + ' with ' + array[j]);
this.swap(array, i, j);
i++;
j--;
}
}
return i;
};
quick(array, left, right) {
var index;
if(array.length > 1) {
index = this.partition(array, left, right);
if(left < index - 1) {
this.quick(array, left, index - 1);
}
if(index < right) {
this.quick(array, index, right);
}
}
return array;
};
heapSort() {
var heapSize = this.array.length;
this.buildHeap(array);
while(heapSize > 1) {
heapSize--;
console.log('swap (' + +array[0] + ',' + array[heapSize] + ')');
this.swap(array, 0, heapSize);
console.log('heapify ' + this.array.join());
this.heapify(array, heapSize, 0);
}
};
buildHeap(array) {
console.log('building heap');
var heapSize = array.length;
for(var i = Math.floor(array.length / 2); i >= 0; i--) {
this.heapify(array, heapSize, i);
}
console.log('heap created: ' + this.array.join());
};
heapify(array, heapSize, i) {
var left = i * 2 + 1,
right = i * 2 + 2,
largest = i;
if(left < heapSize && array[left] > array[largest]) {
largest = left;
}
if(right < heapSize && array[right] > array[largest]) {
largest = right;
}
console.log('Heapify Index = ' + i + ' and Heap Size = ' + heapSize);
if(largest !== i) {
console.log('swap index ' + i + ' with ' + largest + ' (' + +array[i] + ',' + array[largest] + ')');
this.swap(array, i, largest);
console.log('heapify ' + array.join());
this.heapify(array, heapSize, largest);
}
};
countingSort() {
var i,
maxValue = this.findMaxValue(),
sortedIndex = 0,
counts = new Array(maxValue + 1);
for(i = 0; i < array.length; i++) {
if(!counts[array[i]]) {
counts[array[i]] = 0;
}
counts[array[i]]++;
}
console.log('Frequencies: ' + counts.join());
for(i = 0; i < counts.length; i++) {
while(counts[i] > 0) {
array[sortedIndex++] = i;
counts[i]--;
}
}
};
bucketSort(bucketSize) {
var i,
minValue = this.findMinValue(),
maxValue = this.findMaxValue(),
BUCKET_SIZE = 5;
console.log('minValue ' + minValue);
console.log('maxValue ' + maxValue);
bucketSize = bucketSize || BUCKET_SIZE;
var bucketCount = Math.floor((maxValue - minValue) / bucketSize) + 1;
var buckets = new Array(bucketCount);
console.log('bucketSize = ' + bucketCount);
for(i = 0; i < buckets.length; i++) {
buckets[i] = [];
}
for(i = 0; i < this.array.length; i++) {
buckets[Math.floor((this.array[i] - minValue) / bucketSize)].push(this.array[i]);
console.log('pushing item ' + this.array[i] + ' to bucket index ' + Math.floor((this.array[i] - minValue) / bucketSize));
}
this.array = [];
for(i = 0; i < buckets.length; i++) {
this.insertionSort_(buckets[i]);
console.log('bucket sorted ' + i + ': ' + buckets[i].join());
for(var j = 0; j < buckets[i].length; j++) {
this.array.push(buckets[i][j]);
}
}
};
radixSort(radixBase) {
var i,
minValue = this.findMinValue(),
maxValue = this.findMaxValue(),
radixBase = radixBase || 10;
// Perform counting sort for each significant digit), starting at 1
var significantDigit = 1;
while(((maxValue - minValue) / significantDigit) >= 1) {
console.log('radix sort for digit ' + significantDigit);
this.array = this.countingSortForRadix(this.array, radixBase, significantDigit, minValue);
console.log(this.array.join());
significantDigit *= radixBase;
}
};
countingSortForRadix(array, radixBase, significantDigit, minValue) {
var i, countsIndex,
counts = new Array(radixBase),
aux = new Array(radixBase);
for(i = 0; i < radixBase; i++) {
counts[i] = 0;
}
for(i = 0; i < array.length; i++) {
countsIndex = Math.floor(((array[i] - minValue) / significantDigit) % radixBase);
counts[countsIndex]++;
}
for(i = 1; i < radixBase; i++) {
counts[i] += counts[i - 1];
}
for(i = array.length - 1; i >= 0; i--) {
countsIndex = Math.floor(((array[i] - minValue) / significantDigit) % radixBase);
aux[--counts[countsIndex]] = array[i];
}
for(i = 0; i < array.length; i++) {
array[i] = aux[i];
}
return array;
};
sequentialSearch(item) {
for(var i = 0; i < this.array.length; i++) {
if(item === array[i]) {
return i;
}
}
return -1;
};
findMaxValue() {
var max = this.array[0];
for(var i = 1; i < this.array.length; i++) {
if(max < this.array[i]) {
max = this.array[i];
}
}
return max;
};
findMinValue() {
var min = this.array[0];
for(var i = 1; i < this.array.length; i++) {
if(min > this.array[i]) {
min = this.array[i];
}
}
return min;
};
binarySearch(item) {
this.quickSort();
var low = 0,
high = array.length - 1,
mid, element;
while(low <= high) {
mid = Math.floor((low + high) / 2);
element = this.array[mid];
console.log('mid element is ' + element);
if(element < item) {
low = mid + 1;
console.log('low is ' + low);
} else if(element > item) {
high = mid - 1;
console.log('high is ' + high);
} else {
console.log('found it');
return mid;
}
}
return -1;
};
}
return ArrayList;
})()