1.冒泡排序

function bubbleSort(arr) {
            var temp;                                //临时交换变量
            let n = arr.length;                      //记录数组长度
            let count=0;                             //计数,记录一共进行了多少次交换
            //document.write('数组长度为:'+n+'<br />') //输出数组成都
            for (let i=0; i<n; i++) {                 //外层循环,排序出数组的arr[i]的值
                    
                let flag=0;                           //交换标志
                for (let j=n-1; j>i; j-- ) {        //内层循环,从底往上冒泡,将小泡浮到arr[i]位置
                    //alert(0);
                    if (arr[j-1]>arr[j]) {           //比较两个元素大小,并交换位置
                        temp=arr[j-1];
                        arr[j-1]=arr[j];
                        arr[j]=temp;
                        flag=flag+1;                 //确定交换标志
                        count=count+1;               //记录比较元素的次数             
                        //console.log(flag);           
                        //console.log('共交换了:'+count+'次');
                    }
                    //console.log(arr)                 //输出数组
                }
                if (flag==0) {                   //跳出循环
                    break;
                }
            }
            document.write('冒泡排序执行次数为:'+count+'<br />')
            return arr;                              //返回数组
        }

2.简单选择排序

function selectSort(arr) {
        let temp;
        let n = arr.length;
        let count =0;
        for (let i=0; i<n; i++) {
            for (let j= i+1; j<n; j++) {
                count++;
                if (arr[j]<arr[i]) {
                    temp = arr[j];
                    arr[j] = arr[i];
                    arr[i] = temp;
                    
                }
            }
        }
        document.write('简单选择排序执行次数为:'+count);
        return arr;
}

3.直接插入排序

function insertSort(arr) {
        let i,j;
        let n= arr.length;
        let count = 0;
        for (i=1; i<n; i++) {
            if (arr[i]<arr[i-1]) {
                arr[-1] = arr[i];                  //将i位置的值给哨兵            
                for (j=i-1; arr[j]>arr[-1];j--) {  //当i位置前面的值比哨兵小,后移i位置的值,并插入哨兵到原先i位置
                    arr[j+1] = arr[j];
                    arr[j] = arr[-1];
                    count++;
                }
            }
        }
    document.write('直接插入排序执行次数为:'+count);
    return arr;
}

4.希尔排序

function shellSort(arr) {
     let d = arr.length;
     let i;
     let temp; //暂存
     do {
        //设置增量
       d = Math.floor(d / 3) + 1;
       for (i = d ; i < arr.length; i++) {
         if (arr[i] < arr[i - d]) {
           temp = arr[i];
           for (var j = i - d; j >= 0 && temp < arr[j]; j -=d) {
               arr[j + d] = arr[j];
               arr[j] = temp;
           }
         }
       }
     }
     while (d > 1)
     return arr;
    }

5.去重算法

function unique(arr) {
            let brr=[];
            for (let i=0; i<arr.length; i++) {
                if (brr.indexOf(arr[i]) < 0) {
                    brr.push(arr[i]);
                }
            }
            return brr;
        }

6.快速排序

function partition(arr,low,high) {
        let    temp=arr[low],   //基准值
            changetemp;         //用于交换的临时变量
        while (low<high) {   
            while (low<high && arr[high]>=temp) {  
                high--;
            }               //当从high往前扫时,大于基准值时,high--
            //swap(arr, low, high);   //当从high往前扫时,小于基准值时,交换基准值和arr[high]位置
            changetemp=arr[low];
            arr[low]=arr[high];
            arr[high]=changetemp;
            while(low<high && arr[low]<=temp) {
                low++;
            }               //当从low往后扫时,小于基准值时,low++
            //swap(arr, low, high);  //当从low往后扫时,大于基准值时,交换基准值和arr[low]的位置
            changetemp=arr[low];
            arr[low]=arr[high];
            arr[high]=changetemp;

        }
        return low;
    }
    //快速排序
    function quick(arr,low,high) {
        let pivot;                 //定义枢轴值
        if (low < high) {
            pivot = partition(arr,low,high);    //求得第一个基准值第一次排序完的位置作为枢轴值
            quick(arr,low,pivot-1);             //对枢轴值前面的序列排序
            document.write(pivot+'<br />');
            quick(arr, pivot+1, high);          //对枢轴值后面的序列排序   
        }
        //return pivot;                        //返回枢轴值
        return arr;                            //返回排序后的数组
    }

7.使用JS方法并将形参减少为仅输入一个数组的快排

function quickSort (arr) {
        if (arr.length<=1) {
            return arr;
        }
        let left = [],
            right = [],
            pivotIndex = Math.floor(arr.length/2);
        let pivot = arr.splice(pivotIndex,1)[0];
        for (let i=0; i<arr.length; i++) {
            if (arr[i] <= pivot) {
                left.push(arr[i]);
            } else {
                right.push(arr[i]);
            }
        }

        return quickSort(left).concat(pivot,quickSort(right));
    }

8.JS实现归并排序

function mergeSort (arr) {
    //合并两个有序数组为一个数组
    function merge(left,right) {
        let arr=[];
        while (left.length && right.length) {
            if (left[0] < right[0]) {
                arr.push(left.shift());
            } else {
                arr.push(right.shift());
            }
        }
        return arr.concat(left,right);
    }

    let len=arr.length;
    if (len <= 1) {
        return arr;
    } else {
        let index = Math.floor(len/2),
            left = arr.slice(0,index),
            right = arr.slice(index);
        return merge(mergeSort(left),mergeSort(right));//用递归对数组进行拆分,再返回合并后的数组
    }
}

9.堆排序

function heapSort(array) {
    var result = array.slice(0);
    function swap(array, i, j) {
        var temp = array[i];
        array[i] = array[j];
        array[j] = temp;
    }

    function maxHeapify(array, index, heapSize) {
        var iMax, iLeft, iRight;
        while (true) {
          iMax = index;
          iLeft = 2 * index + 1;
          iRight = 2 * (index + 1);
          
          if (iLeft < heapSize && array[index] < array[iLeft]) {
              iMax = iLeft;
          }

          if (iRight < heapSize && array[iMax] < array[iRight]) {
              iMax = iRight;
          }

          if (iMax != index) {
              swap(array, iMax, index);
              index = iMax;
          } else {
              break;
          }
        }
    }

    function buildMaxHeap(array) {
        var i, iParent = Math.floor(array.length / 2) - 1;

        for (i = iParent; i >= 0; i--) {
            maxHeapify(array, i, array.length);
        }
    }

    function sort(array) {
        buildMaxHeap(array);

        for (var i = array.length - 1; i > 0; i--) {
            swap(array, 0, i);
            maxHeapify(array, 0, i);
        }
        return array;
    }

        return sort(result);
}

10.JS实现顺序查找

function listSearch(arr,data) {
    var result;
    for (var i = 0;i<arr.length; i++) {
        if (arr[i] === data) {
            result = i;
            break;
        }
    }
    if (result === undefined) {
        result = -1;
    }
    return result
}

11.JS实现二分查找

function binarySearch(arr,key) {
    var low = 0,
        high = arr.length-1;
    while (low <= high) {
            var mid = parseInt((low+high)/2);    
            if (key < arr[mid]) {
                high = mid-1;
            } else if (key > arr[mid]) {
                low = mid+1;
            } else {
                return mid;
            }
    }
    return -1;
}
        

12.统计字符串中出现次数最多的字符

function count(str) {
    var obj = {},
        mostStr = "",
        key;
    for(var i = 0; i<str.length; i++) {
        if (!obj[str[i]]) {
            obj[str[i]] = 1;
        } else {
            obj[str[i]]++;
        }
    }
    for(key in obj) {
        if (mostStr === "" || obj[key] > obj[mostStr]) {
            mostStr = key
        }
    }
    return [mostStr,obj[mostStr]]
}

13.斐波拉契数列递归写法

function fibonicco(n) {
    if (n ===1 || n === 2) {
        return 1;
    } else {
        return fibonicco(n-1)+fibonicco(n-2);
    }
}

14.斐波拉契数列迭代写法

function fibonicco(n) {
    var a,b,res;
    a = b = res =1;
    for (var i =3; i<=n; i++) {
        res = a+b;
        a = b;
        b = res;
    }
    return res;
}

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