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  • 常用算法js版(冒泡排序 ,选择排序 ,插入排序 ,希尔排序 ,归并排序 ,快速排序 ,堆排序 ,计数排序 ,桶排序 ,基数排序)

    原文

    文件地址

    冒泡排序

    function bubbleSort(arr) {
        var len = arr.length;
        for (var i = 0; i < len - 1; i++) {
            for (var j = 0; j < len - 1 - i; j++) {
                if (arr[j] > arr[j+1]) {        // 相邻元素两两对比
                    var temp = arr[j+1];        // 元素交换
                    arr[j+1] = arr[j];
                    arr[j] = temp;
                }
            }
        }
        return arr;
    }

    选择排序

    function selectionSort(arr) {
        var len = arr.length;
        var minIndex, temp;
        for (var i = 0; i < len - 1; i++) {
            minIndex = i;
            for (var j = i + 1; j < len; j++) {
                if (arr[j] < arr[minIndex]) {     // 寻找最小的数
                    minIndex = j;                 // 将最小数的索引保存
                }
            }
            temp = arr[i];
            arr[i] = arr[minIndex];
            arr[minIndex] = temp;
        }
        return arr;
    }


    插入排序

    function insertionSort(arr) {
        var len = arr.length;
        var preIndex, current;
        for (var i = 1; i < len; i++) {
            preIndex = i - 1;
            current = arr[i];
            while(preIndex >= 0 && arr[preIndex] > current) {
                arr[preIndex+1] = arr[preIndex];
                preIndex--;
            }
            arr[preIndex+1] = current;
        }
        return arr;
    }

    希尔排序

    function shellSort(arr) {
        var len = arr.length,
            temp,
            gap = 1;
        while(gap < len/3) {          //动态定义间隔序列
            gap =gap*3+1;
        }
        for (gap; gap > 0; gap = Math.floor(gap/3)) {
            for (var i = gap; i < len; i++) {
                temp = arr[i];
                for (var j = i-gap; j >= 0 && arr[j] > temp; j-=gap) {
                    arr[j+gap] = arr[j];
                }
                arr[j+gap] = temp;
            }
        }
        return arr;
    }

    归并排序

    function mergeSort(arr) {  // 采用自上而下的递归方法
        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));
    }
    
    function merge(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;
    }


    快速排序

    function quickSort(arr, left, right) {
        var len = arr.length,
            partitionIndex,
            left = typeof left != 'number' ? 0 : left,
            right = typeof right != 'number' ? len - 1 : right;
    
        if (left < right) {
            partitionIndex = partition(arr, left, right);
            quickSort(arr, left, partitionIndex-1);
            quickSort(arr, partitionIndex+1, right);
        }
        return arr;
    }
    
    function partition(arr, left ,right) {     // 分区操作
        var pivot = left,                      // 设定基准值(pivot)
            index = pivot + 1;
        for (var i = index; i <= right; i++) {
            if (arr[i] < arr[pivot]) {
                swap(arr, i, index);
                index++;
            }        
        }
        swap(arr, pivot, index - 1);
        return index-1;
    }
    
    function swap(arr, i, j) {
        var temp = arr[i];
        arr[i] = arr[j];
        arr[j] = temp;
    }
    functiion paritition2(arr, low, high) {
      let pivot = arr[low];
      while (low < high) {
        while (low < high && arr[high] > pivot) {
          --high;
        }
        arr[low] = arr[high];
        while (low < high && arr[low] <= pivot) {
          ++low;
        }
        arr[high] = arr[low];
      }
      arr[low] = pivot;
      return low;
    }
    
    function quickSort2(arr, low, high) {
      if (low < high) {
        let pivot = paritition2(arr, low, high);
        quickSort2(arr, low, pivot - 1);
        quickSort2(arr, pivot + 1, high);
      }
      return arr;
    }


    堆排序

    var len;    // 因为声明的多个函数都需要数据长度,所以把len设置成为全局变量
    
    function buildMaxHeap(arr) {   // 建立大顶堆
        len = arr.length;
        for (var i = Math.floor(len/2); i >= 0; i--) {
            heapify(arr, i);
        }
    }
    
    function heapify(arr, i) {     // 堆调整
        var left = 2 * i + 1,
            right = 2 * i + 2,
            largest = i;
    
        if (left < len && arr[left] > arr[largest]) {
            largest = left;
        }
    
        if (right < len && arr[right] > arr[largest]) {
            largest = right;
        }
    
        if (largest != i) {
            swap(arr, i, largest);
            heapify(arr, largest);
        }
    }
    
    function swap(arr, i, j) {
        var temp = arr[i];
        arr[i] = arr[j];
        arr[j] = temp;
    }
    
    function heapSort(arr) {
        buildMaxHeap(arr);
    
        for (var i = arr.length-1; i > 0; i--) {
            swap(arr, 0, i);
            len--;
            heapify(arr, 0);
        }
        return arr;
    }


    计数排序

    function countingSort(arr, maxValue) {
        var bucket = new Array(maxValue+1),
            sortedIndex = 0;
            arrLen = arr.length,
            bucketLen = maxValue + 1;
    
        for (var i = 0; i < arrLen; i++) {
            if (!bucket[arr[i]]) {
                bucket[arr[i]] = 0;
            }
            bucket[arr[i]]++;
        }
    
        for (var j = 0; j < bucketLen; j++) {
            while(bucket[j] > 0) {
                arr[sortedIndex++] = j;
                bucket[j]--;
            }
        }
    
        return arr;
    }


    桶排序

    function bucketSort(arr, bucketSize) {
        if (arr.length === 0) {
          return arr;
        }
    
        var i;
        var minValue = arr[0];
        var maxValue = arr[0];
        for (i = 1; i < arr.length; i++) {
          if (arr[i] < minValue) {
              minValue = arr[i];                // 输入数据的最小值
          } else if (arr[i] > maxValue) {
              maxValue = arr[i];                // 输入数据的最大值
          }
        }
    
        //桶的初始化
        var DEFAULT_BUCKET_SIZE = 5;            // 设置桶的默认数量为5
        bucketSize = bucketSize || DEFAULT_BUCKET_SIZE;
        var bucketCount = Math.floor((maxValue - minValue) / bucketSize) + 1;   
        var buckets = new Array(bucketCount);
        for (i = 0; i < buckets.length; i++) {
            buckets[i] = [];
        }
    
        //利用映射函数将数据分配到各个桶中
        for (i = 0; i < arr.length; i++) {
            buckets[Math.floor((arr[i] - minValue) / bucketSize)].push(arr[i]);
        }
    
        arr.length = 0;
        for (i = 0; i < buckets.length; i++) {
            insertionSort(buckets[i]);                      // 对每个桶进行排序,这里使用了插入排序
            for (var j = 0; j < buckets[i].length; j++) {
                arr.push(buckets[i][j]);                      
            }
        }
    
        return arr;
    }


    基数排序

    //LSD Radix Sort
    var counter = [];
    function radixSort(arr, maxDigit) {
        var mod = 10;
        var dev = 1;
        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;
    }
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  • 原文地址:https://www.cnblogs.com/ytb-wpq/p/6479240.html
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