Java에서 일반적인 정렬 알고리즘을 구현하는 방법

public void bubbleSort(int[] nums){
    int temp;
    boolean isSort = false; //优化，发现排序好就退出
    for (int i = 0; i < nums.length-1; i++) {
        for (int j = 0; j < nums.length-1-i; j++) {  //每次排序后能确定较大值
            if(nums[j] > nums[j+1]){
                isSort = true;
                temp = nums[j];
                nums[j] = nums[j+1];
                nums[j+1] = temp;
            }
        }
        if(!isSort){
            return;
        } else {
            isSort = false;
        }
    }
}

public void quickSortDfs(int[] nums, int left, int right){
    if(left > right){
        return;
    }
    int l = left;
    int r = right;
    int baseNum = nums[left];
    while(l < r){
        //必须右边先走
        while(nums[r] >= baseNum && l < r){
            r--;
        }
        while(nums[l] <= baseNum && l < r){
            l++;
        }
        int temp = nums[l];
        nums[l] = nums[r];
        nums[r] = temp;
    }
    nums[left] = nums[l];
    nums[l] = baseNum;
    quickSortDfs(nums, left, r-1);
    quickSortDfs(nums, l+1, right);
}

public void heapSort2(int[] nums) {
    for(int i = nums.length/2-1; i >= 0; i--){
        sift(nums, i, nums.length);
    }
    for (int i = nums.length-1; i > 0; i--) {
        int temp = nums[0];
        nums[0] = nums[i];
        nums[i] = temp;
        sift(nums, 0, i);
    }
}
private void sift(int[] nums, int parent, int len) {
    int value = nums[parent];
    for (int child = 2*parent +1; child < len; child = child*2 +1) {
        if(child+1 < len && nums[child+1] > nums[child]){
            child++;
        }
        if(nums[child] > value){
            nums[parent] = nums[child];
            parent = child;
        } else {
            break;
        }
    }
    nums[parent] = value;
}

public void countSort(int[] nums){
    int max = Integer.MIN_VALUE;
    int min = Integer.MAX_VALUE;
    for(int num : nums){
        max = Math.max(max, num);
        min = Math.min(min, num);
    }

    int[] countMap = new int[max-min+1];
    for(int num : nums){
        countMap[num-min]++;
    }
    int i = 0;
    int j = 0;
    while(i < nums.length && j < countMap.length){
        if(countMap[j] > 0){
            nums[i] = j+min;
            i++;
            countMap[j]--;
        } else {
            j++;
        }
    }
}

public void bucketSort(int[] nums){
    int max = Integer.MIN_VALUE;
    int min = Integer.MAX_VALUE;
    for(int num : nums){
        max = Math.max(max, num);
        min = Math.min(min, num);
    }
    int bucketCount = (max-min)/nums.length+1;
    List<List<Integer>> bucketList = new ArrayList<>();
    for (int i = 0; i < bucketCount; i++) {
        bucketList.add(new ArrayList<>());
    }

    for(int num : nums){
        int index = (num-min)/nums.length;
        bucketList.get(index).add(num);
    }
    for(List<Integer> bucket : bucketList){
        Collections.sort(bucket);
    }

    int j = 0;
    for(List<Integer> bucket : bucketList){
        for(int num : bucket){
            nums[j] = num;
            j++;
        }
    }
}

public  void radixSort(int[] nums){
    int min = Integer.MAX_VALUE;
    int max = Integer.MIN_VALUE;
    for (int num : nums) {
        min = Math.min(min, num);
        max = Math.max(max, num);
    }
    for (int i = 0; i < nums.length; i++) {
        nums[i] -= min;
    }
    max -= min;
    int maxLen = (max+"").length();

    int[][] bucket = new int[nums.length][10];
    int[] bucketCount = new int[10];

    for (int i = 0, n = 1; i < maxLen; i++, n*=10) {
        for (int num : nums) {
            int digitVal = num / n % 10;
            bucket[bucketCount[digitVal]][digitVal] = num;
            bucketCount[digitVal]++;
        }
        int index = 0;
        for (int j = 0; j < bucketCount.length; j++) {
            if(bucketCount[j] > 0){
                for (int k = 0; k < bucketCount[j]; k++) {
                    nums[index] = bucket[k][j];
                    index++;
                }
            }
            bucketCount[j] = 0;
        }
    }
    for (int i = 0; i < nums.length; i++) {
        nums[i] += min;
    }
}