• DFS排列组合问题


    这四个使用DFS来求解所有组合和排列的例子很有代表性,这里做一个总结:

    1.不带重复元素的子集问题

     1  public ArrayList<ArrayList<Integer>> subsets(int[] nums) {
     2         // write your code here
     3         ArrayList<ArrayList<Integer>> results = new ArrayList<>();
     4         if (nums == null || nums.length == 0) {
     5             return results;
     6         }
     7         Arrays.sort(nums);
     8         DFS(results, new ArrayList<Integer>(), nums, 0);
     9         return results;
    10     }
    11     public void DFS(ArrayList<ArrayList<Integer>> results, ArrayList<Integer> cur,
    12                     int[] nums, int start) {
    13         results.add(new ArrayList<Integer>(cur));
    14         for (int i = start; i < nums.length; i++) {
    15             cur.add(nums[i]);
    16             DFS(results, cur, nums, i+1);
    17             cur.remove(cur.size()-1);
    18         }      
    19     }
    View Code

    2.带重复元素的子集问题

     1 public ArrayList<ArrayList<Integer>> subsetsWithDup(ArrayList<Integer> S) {
     2         // write your code here
     3         ArrayList<ArrayList<Integer>> results = new ArrayList<>();
     4         if (S == null || S.size() == 0) {
     5             return results;
     6         }
     7         Collections.sort(S);
     8         DFS(results, new ArrayList<Integer>(), S, 0);
     9         return results;
    10     }
    11     public void DFS(ArrayList<ArrayList<Integer>> results, 
    12                     ArrayList<Integer> cur, 
    13                     ArrayList<Integer> S,
    14                     int start) {
    15         results.add(new ArrayList<>(cur));
    16         for (int i = start; i < S.size(); i++) {
    17             if(i != start && S.get(i) == S.get(i - 1)) {
    18                 continue;
    19             }
    20             cur.add(S.get(i));
    21             DFS(results, cur, S, i+1);
    22             cur.remove(cur.size()-1);
    23         }                    
    24     }
    View Code

    3.不带重复元素的全排列问题

     

     1 public List<List<Integer>> permute(int[] nums) {
     2         // write your code here
     3         List<List<Integer>> results = new ArrayList<List<Integer>>();
     4         if (nums == null || nums.length == 0) {
     5             results.add(new ArrayList<Integer>());
     6             return results;
     7         }
     8         boolean[] used = new boolean[nums.length];
     9         DFS(results, new ArrayList<Integer>(), nums, used);
    10         return results;
    11     }
    12     public void DFS(List<List<Integer>> results, List<Integer> cur, int[] nums, boolean[] used) {
    13         if (cur.size() == nums.length) {
    14             results.add(new ArrayList<Integer>(cur));
    15             return;
    16         }
    17         for(int i = 0; i<nums.length; i++) {
    18             if (used[i]) {
    19                 continue;
    20             }
    21             used[i] =true;
    22             cur.add(nums[i]);
    23             DFS(results, cur, nums, used);
    24             used[i] =false;
    25             cur.remove(cur.size()-1);
    26         }
    27     }
    View Code

    4.带重负元素的全排列问题

     1 public List<List<Integer>> permuteUnique(int[] nums) {
     2         // Write your code here
     3         List<List<Integer>> results = new ArrayList<List<Integer>>();
     4         if (nums == null || nums.length == 0) {
     5             results.add(new ArrayList<Integer>());
     6             return results;
     7         }
     8         Arrays.sort(nums);
     9         boolean[] used = new boolean[nums.length];
    10         DFS(results, new ArrayList<Integer>(), used, nums);
    11         return results;
    12     }
    13     public void DFS(List<List<Integer>> results, List<Integer> cur, boolean[] used, int[] nums) {
    14         if (cur.size() == nums.length) {
    15             results.add(new ArrayList<Integer>(cur));
    16             return;
    17         }
    18         for (int i = 0; i < nums.length; i++) {
    19             if (used[i]) {
    20                 continue;
    21             }
    22             if (i > 0 && nums[i] == nums[i - 1] && !used[i-1]) {
    23                 continue;
    24             }
    25             used[i] = true;
    26             cur.add(nums[i]);
    27             DFS(results, cur, used, nums);
    28             used[i] = false;
    29             cur.remove(cur.size() -1);
    30         }
    31     }
    View Code

    寻找丢失的数 II*

    给一个由 1 - n 的整数随机组成的一个字符串序列,其中丢失了一个整数,请找到它。

    回溯,当前位置可以单独,也可以和下一个结合,当前为0一定不行。curIndex控制啥时候结束。

     1 public int findMissing2(int n, String str) {
     2         // Write your code here
     3         if (n < 1 || str == null) {
     4             return 0;
     5         }
     6         char[] chars = str.toCharArray();
     7         boolean[] appeared = new boolean[n + 1];
     8         int[] curIndex = {0};
     9         help(appeared, chars, curIndex, n);
    10         for (int i = 1; i < appeared.length; i++) {
    11             if (!appeared[i]) {
    12                 return i;
    13             }
    14         }
    15         return -1;
    16     }
    17     public void help(boolean[] appeared, char[] chars, int[] curIndex, int n) {
    18         if (curIndex[0] >= chars.length) {
    19             return;
    20         }
    21         if (chars[curIndex[0]] == '0') {
    22             return;
    23         }
    24         if (!appeared[chars[curIndex[0]] - '0']) {
    25             appeared[chars[curIndex[0]] - '0'] = true;
    26             curIndex[0]++;
    27             help(appeared, chars, curIndex, n);
    28             if (curIndex[0] >= chars.length) {
    29                 return;
    30             }
    31             curIndex[0]--;
    32             appeared[chars[curIndex[0]] - '0'] = false;
    33         }
    34         if (curIndex[0] < chars.length - 1) {
    35             int c1 = chars[curIndex[0]] - '0';
    36             int c2 = chars[curIndex[0] + 1] - '0';
    37             int newnum = c1 * 10 + c2;
    38             if (newnum <= n && !appeared[newnum]) {
    39                 appeared[newnum] = true;
    40                 curIndex[0] += 2;
    41                 help(appeared, chars, curIndex, n);
    42                 if (curIndex[0] >= chars.length) {
    43                     return;
    44                 }
    45                 curIndex[0]-=2;
    46                 appeared[newnum] = false;
    47             }
    48         }
    49     }
    View Code
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  • 原文地址:https://www.cnblogs.com/futurehau/p/5847453.html
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