arr.sort();
arr.sort(function(a,b){
return a - b;
});
var len = arr.length;
for (var i = 0; i < len; i++) {
for (var j = 0; j < len; j++) {
if (arr[i] < arr[j]) {
var tmp = arr[i];
arr[i] = arr[j];
arr[j] = tmp;
}
}
}
var len = arr.length,
pos;
for (var i = len - 1; i > 0; i = pos) {
//每次默认为没有交换
pos = 0;
for (var j = 0; j < i; j++) {
if (arr[j] > arr[j + 1]) {
var tmp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = tmp;
pos = j;
}
}
}
var len = arr.length,
j;
//设置一个低位,一个高位
var low = 0,
high = len - 1; //设置变量的初始值
while (low < high) {
for (j = low; j < high; ++j) {
//正向冒泡,找到最大
if (arr[j] > arr[j + 1]) {
tmp = arr[j];
arr[j] = arr[j + 1];
arr[j + 1] = tmp;
}
}--high; //修改high值, 前移一位
for (j = high; j > low; --j) {
//反向冒泡,找到最小
if (arr[j] < arr[j - 1]) {
tmp = arr[j];
arr[j] = arr[j - 1];
arr[j - 1] = tmp;
}
}++low; //修改low值,后移一位
}
var len = arr.length,
minIndex;
for (var i = 0; i < len - 1; i++) {
minIndex = i;
for (var j = i + 1; j < len; j++) {
if (arr[j] < arr[minIndex]) {
minIndex = j;
}
}
var tmp = arr[i];
arr[i] = arr[minIndex];
arr[minIndex] = tmp;
}
//quick的递归函数
var quick = function(arr) {
var len = arr.length;
if (len <= 1) {
return arr;
}
var index = Math.floor(len / 2),
//向下取整 根据中间的值作为比较对象
pindex = arr.splice(index, 1)[0],
//需要删除中间值,以缩小排序的数组大小
left = [],
//定义左右两个数组 左大右小
right = [];
for (i = 0; i < len - 1; i++) { //遍历整个数组 大放右 小放左
if (arr[i] >= pindex) {
right.push(arr[i]);
} else {
left.push(arr[i]);
}
}
return quick(left).concat([pindex], quick(right)); //继续递归并将数组合并
};
arr = quick(arr);
var len = arr.length,key;
for (var i = 1; i < len; i++) {
key = arr[i];
var j = i - 1;
while (arr[j] > key) {
arr[j + 1] = arr[j];
j--;
}
arr[j + 1] = key;
}
var len = arr.length,
key, left, right, middle;
for (var i = 1; i < len; i++) {
key = arr[i],
left = 0,
right = i - 1;
while (left <= right) {
middle = parseInt((left + right) / 2);
if (key < arr[middle]) {
right = middle - 1;
} else {
left = middle + 1;
}
}
for (var j = i - 1; j >= left; j--) {
arr[j + 1] = arr[j];
}
arr[left] = key;
}
var gap = 1,
key, i, j, tmp;
var len = arr.length;
//动态定义间隔序列
while (gap < len / 5) {
gap = gap * 5 + 1;
}
for (; gap > 0; gap = Math.floor(gap / 5)) {
for (i = gap; i < len; i++) {
tmp = arr[i];
for (j = i - gap; j >= 0 && arr[j] > tmp; j -= gap) {
arr[j + gap] = arr[j];
}
arr[j + gap] = tmp;
}
}
var merge = function(left, right) {
var result = [];
while (left.length && right.length) {
if (left[0] <= right[0]) {
result.push(left.shift());
} else {
result.push(right.shift());
}
}
while (left.length) result.push(left.shift());
while (right.length) result.push(right.shift());
return result;
};
var mergeSort = function(arr) {
var len = arr.length;
if (len < 2) {
return arr;
}
var middle = Math.floor(len / 2),
left = arr.slice(0, middle),
right = arr.slice(middle);
return merge(mergeSort(left), mergeSort(right));
};
arr = mergeSort(arr);
//维护堆
var heapify = function(arr, x, len) {
var l = 2 * x + 1,
r = 2 * x + 2,
largest = x,
temp;
if (l < len && arr[l] > arr[largest]) {
largest = l;
}
if (r < len && arr[r] > arr[largest]) {
largest = r;
}
if (largest != x) {
temp = arr[x];
arr[x] = arr[largest];
arr[largest] = temp;
heapify(arr, largest, len);
}
};
var heapSort = function(arr) {
//建堆
var heapSize = arr.length,
temp;
for (var i = Math.floor(heapSize / 2) - 1; i >= 0; i--) {
heapify(arr, i, heapSize);
}
//堆排序
for (var j = heapSize - 1; j >= 1; j--) {
temp = arr[0];
arr[0] = arr[j];
arr[j] = temp;
heapify(arr, 0, --heapSize);
}
return arr;
};
arr = heapSort(arr);
var countingSort = function(arr) {
//额外开辟空间
var B = [],
C = [],
min = arr[0],
max = arr[0];
var len = arr.length;
for (var i = 0; i < len; i++) {
min = min <= arr[i] ? min: arr[i];
max = max >= arr[i] ? max: arr[i];
C[arr[i]] = C[arr[i]] ? C[arr[i]] + 1 : 1;
}
for (var j = min; j < max; j++) {
C[j + 1] = (C[j + 1] || 0) + (C[j] || 0);
}
for (var k = len - 1; k >= 0; k--) {
B[C[arr[k]] - 1] = arr[k];
C[arr[k]]--;
}
return B;
};
arr = countingSort(arr);
//只适用于数字
var bucketSort = function(arr, bucketCount) {
if (arr.length <= 1) {
return arr;
}
bucketCount = bucketCount || 10;
//初始化桶
var len = arr.length,
buckets = [],
result = [],
max = arr[0],
min = arr[0];
for (var i = 1; i < len; i++) {
min = min <= arr[i] ? min: arr[i];
max = max >= arr[i] ? max: arr[i];
}
//求出每一个桶的数值范围
var space = (max - min + 1) / bucketCount;
//将数值装入桶中
for (var i = 0; i < len; i++) {
//找到相应的桶序列
var index = Math.floor((arr[i] - min) / space);
//判断是否桶中已经有数值
if (buckets[index]) {
//数组从小到大排列
var bucket = buckets[index];
var k = bucket.length - 1;
while (k >= 0 && buckets[index][k] > arr[i]) {
buckets[index][k + 1] = buckets[index][k];
k--
}
buckets[index][k + 1] = arr[i];
} else {
//新增数值入桶,暂时用数组模拟链表
buckets[index] = [];
buckets[index].push(arr[i]);
}
}
//开始合并数组
var n = 0;
while (n < bucketCount) {
result = result.concat(buckets[n]);
n++;
}
return result;
};
arr = bucketSort(arr, self.bucketCount);
var bucketSort = function(arr, bucketCount) {
if (arr.length <= 1) {
return arr;
}
bucketCount = bucketCount || 10;
//初始化桶
var len = arr.length,
buckets = [],
result = [],
max = Math.max.apply(null, arr),
min = Math.min.apply(null, arr);
//求出每一个桶的数值范围
var space = (max - min + 1) / bucketCount;
//将数值装入桶中
for (var i = 0; i < len; i++) {
//找到相应的桶序列
var index = Math.floor((arr[i] - min) / space);
//判断是否桶中已经有数值
if (buckets[index]) {
//数组从小到大排列
var bucket = buckets[index];
var k = bucket.length - 1;
while (k >= 0 && buckets[index][k] > arr[i]) {
k--
}
//js中可以使用自己的api,splice
buckets[index].splice(k + 1, 0, arr[i]);
} else {
//新增数值入桶,暂时用数组模拟链表
buckets[index] = [];
buckets[index].push(arr[i]);
}
}
//开始合并数组
var n = 0;
while (n < bucketCount) {
if(buckets[n]){
result = result.concat(buckets[n]);
}
n++;
}
return result;
};
arr = bucketSort(arr, self.bucketCount);
//初始化桶
var len = arr.length,
buckets = [],
result = [],
max = Math.max.apply(null, arr),
min = Math.min.apply(null, arr);
var bucketCount = self.bucketCount;
//每一个都创建一个数组
for (var i = 0; i < bucketCount; i++) {
buckets[i] = [];
}
//只适用于数字
var bucketSort = function(arr) {
if (arr.length <= 1) {
return arr;
}
//求出每一个桶的数值范围
var space = (max - min + 1) / bucketCount;
//将数值装入桶中
for (var i = 0; i < len; i++) {
//找到相应的桶序列
var index = Math.floor((arr[i] - min) / space);
//判断是否桶中已经有数值
if (buckets[index].length > 0) {
//数组从小到大排列
var bucket = buckets[index];
var k = bucket.length - 1;
while (k >= 0 && buckets[index][k] > arr[i]) {
k--
}
//js中可以使用自己的api,splice
buckets[index].splice(k + 1, 0, arr[i]);
} else {
buckets[index].push(arr[i]);
}
}
//开始合并数组
var n = 0;
while (n < bucketCount) {
if(buckets[n]){
result = result.concat(buckets[n]);
}
n++;
}
return result;
};
arr = bucketSort(arr);
var L = linklist;
//只适用于数字
var bucketSort = function(arr, bucketCount) {
if (arr.length <= 1) {
return arr;
}
bucketCount = bucketCount || 10;
//初始化桶
var len = arr.length,
buckets = [],
result = [],
max = arr[0],
min = arr[0];
for (var i = 1; i < len; i++) {
min = min <= arr[i] ? min: arr[i];
max = max >= arr[i] ? max: arr[i];
}
//求出每一个桶的数值范围
var space = (max - min + 1) / bucketCount;
//将数值装入桶中
for (var i = 0; i < len; i++) {
//找到相应的桶序列
var index = Math.floor((arr[i] - min) / space);
//判断是否桶中已经有数值
if (buckets[index]) {
//数组从小到大排列
var bucket = buckets[index];
var insert = false; //插入标石
L.reTraversal(bucket,
function(item, done) {
if (arr[i] <= item.v) { //小于,左边插入
L.append(item, _val(arr[i]));
insert = true;
done(); //退出遍历
}
});
if (!insert) { //大于,右边插入
L.append(bucket, _val(arr[i]));
}
} else {
var bucket = L.init();
L.append(bucket, _val(arr[i]));
buckets[index] = bucket; //链表实现
}
}
//开始合并数组
for (var i = 0,
j = 0; i < bucketCount; i++) {
L.reTraversal(buckets[i],
function(item) {
// console.log(i+":"+item.v);
result[j++] = item.v;
});
}
return result;
};
//链表存储对象
var _val = function(v) {
return {
v: v
}
};
arr = bucketSort(arr, self.bucketCount);
var radixSort = function(arr, maxDigit) {
var mod = 10;
var dev = 1;
var counter = [];
for (var i = 0; i < maxDigit; i++, dev *= 10, mod *= 10) {
for (var j = 0; j < arr.length; j++) {
var bucket = parseInt((arr[j] % mod) / dev);
if (counter[bucket] == null) {
counter[bucket] = []
}
counter[bucket].push(arr[j])
}
var pos = 0;
for (var j = 0; j < counter.length; j++) {
var value = null;
if (counter[j] != null) {
while ((value = counter[j].shift()) != null) {
arr[pos++] = value
}
}
}
}
return arr
}
arr = radixSort(arr, 5);