【leetcode】sudokuSolver数独解题

0.摘要

小时候在报纸上玩过数独，那时候觉得很难，前几天在leetcode上遇到了这个题，挺有意思于是记录下来

一般一道数独题，就像他给的例子这样，9*9的格子，满足 行，列 ，宫均取1-9的数，切互不相同。

   

那一般正常人的思路会去一点一点的推理，至少我小时候就是这么玩的，具体来说，好比 r7c9(第7行，第9列)的空格，我会找第7行有『6,2,8』,第9列有『3,1,6,5,9』,第9宫有『2,8,5,7,9』,这些的并集就是『1,2,3,5,6,7,8,9』,哦那么空格是4。就这么一点点继续往下推理。

1.余数法

他给的函数接口是这样

void solveSudoku(vector<vector<char>>& board){}

然后我就照着我小时候的思路写了一个版本

 void solveSudoku(vector<vector<char>>& board) {
     if(board.size()!=||board[].size()!=)
         return;
     vector<vector<vector<bool>>> ex(,vector<vector<bool>>(,vector<bool>(,false)));
     vector<vector<int>> count(,vector<int>(,));
     queue<int> se;
     for(int i=;i<;i++)
     {
         for(int j=;j<;j++)
             if(board[i][j]=='.')
             {
                 int block_i = i/;
                 int block_j = j/;
                 for(int c=;c<;c++)
                 {
                      if(board[i][c]!='.'&&!ex[i][j][board[i][c]-''])
                     {
                         ex[i][j][board[i][c]-''] = true;
                         count[i][j]++;
                     }
                     if(board[c][j]!='.'&&!ex[i][j][board[c][j]-''])
                     {
                         ex[i][j][board[c][j]-''] = true;
                         count[i][j]++;
                     }
                     int ii = block_i* + c/;
                     int jj = block_j* + c%;
                     if(board[ii][jj]!='.'&&!ex[i][j][board[ii][jj]-''])
                     {
                         ex[i][j][board[ii][jj]-''] = true;
                         count[i][j]++;
                     }
                 }
                 if(count[i][j]==)
                     se.push(i*+j);
             }
     }
     while(!se.empty())
     {
         int cur = se.front();
         se.pop();
         int i = cur/;
         int j = cur%;
         int block_i = i/;
         int block_j = j/;
         for(int c=;c<;c++)
             if(!ex[i][j][c])
             {
                 board[i][j] = c + '';
                 break;
             }
         for(int c=;c<;c++)
         {
             if(board[i][c]=='.'&&!ex[i][c][board[i][j]-''])
             {
                 ex[i][c][board[i][j]-''] = true;
                 count[i][c]++;
                 if(count[i][c]==)
                     se.push(i*+c);
             }
             if(board[c][j]=='.'&&!ex[c][j][board[i][j]-''])
             {
                 ex[c][j][board[i][j]-''] = true;
                 count[c][j]++;
                 if(count[c][j]==)
                     se.push(c*+j);
             }
             int ii = block_i* + c/;
             int jj = block_j* + c%;
             if(board[ii][jj]=='.'&&!ex[ii][jj][board[i][j]-''])
             {
                 ex[ii][jj][board[i][j]-''] = true;
                 count[ii][jj]++;
                 if(count[ii][jj]==)
                     se.push(ii*+jj);
             }
         }
     }
 }

这里ex是9*9*9的数组，对于非空格的位置ex没有意义，对于ricj的空格（例如r7c9的空格），ex[i][j][9]是一个bool[9]的数组，分别代表跟ricj相关的20个格子（行列宫一共20格）是否包含x {x=1...9}；如果包含x，那么ex[i][j][x-1]就是true（例如ex[7][9][0,1,2,4,5,6,7,8]为true，ex[7][9][3]为false），同时为了方便建立一个count[9][9]记录true的个数，count[i][j]记录ex[i][j]中true的个数，一旦count[i][j]==8,那么这个格子就可以推理出来。

那么刚开始先对整个数组扫描一遍，分别记录一遍ex和count，找到那些count==8的，放入一个队列。然后获得队列的对首ricj，把他的值填入（例如r7c9填”4“），同时找到与r7c9相关20个格子中是空格的位置，更新他们的ex和count（例如r1c9的ex[0][8][4-1]改为true），把count==8的push到对尾，如此往复，直到队列为空。

我当时的想法时队列空了应该就能解出来了吧。。。于是submit了，结果过了两个case，还有的case报错了。。。

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alt="" width="903" height="292" />

咦？没解完。。解了的都对了。。我把剩下的手抄了一下，发现确实解不了，不是程序问题，原来我小时候一直解不出来是有原因的，不是我眼神不好，方法有问题。遂百度了一下，原来我的方法叫做”余数法“。余数法求解不了所有的数独问题，难的需要假设来推到出矛盾。但怎么假设好呢，也百度了一下。

2.递归+回溯

网上说的最多的方法，主要还是递归+回溯 暴力求解。

 int row[][] ;
 int col[][] ;
 int block[][] ;

 void solveSudoku(vector<vector<char>>& board) {
     if(board.size()!=||board[].size()!=)
         return;
     memset(row, , sizeof(row));
     memset(col, , sizeof(col));
     memset(block, , sizeof(block));
     //memset(ex, 0, sizeof(ex));
     //memset(count, 0, sizeof(count));
     //推导
     //forward(board);
     //假设
     for(int i=;i<;i++)
         for(int j=;j<;j++)
             if(board[i][j]!='.')
             {
                 row[i][board[i][j]-'']=;
                 col[j][board[i][j]-'']=;
                 block[(i/)*+j/][board[i][j]-'']=;
             }
     assume(board,,);
 }

 bool assume(vector<vector<char>>& board,int i,int j)
 {
     if(i==)
         return true;
     if(board[i][j] != '.')
         return assume(board,i+(j+)/,(j+)%);
     else
         for(int c=;c<;c++)
         {
             if(!row[i][c]&&!col[j][c]&&!block[i/*+j/][c])
             {
                 board[i][j] = c+'';
                 row[i][c] = col[j][c] = block[i/*+j/][c] = ;
                 if(assume(board,i+(j+)/,(j+)%))
                     return true;
                 board[i][j] = '.';
                 row[i][c] = col[j][c] = block[i/*+j/][c] = ;
             }
         }
         return false;
 }

这种方法是从另外一个角度记录当前的数独数组的情况，维持3个bool类型的数组row[9][9],col[9][9],block[9][9],这里为了初始化memset方便设成了int型。row[i][j]的含义是第i行是否含有j（例如初始时r[1-1][5-1]为真，r[1-1][2-1]为假，第一行有5没有2）,col，block同理。assume是递归函数，每次遇到空格就对他从i = 1开始假设，如果他所在的行，列，宫都没有i那就设他为i，继续递归往后填写，遇到矛盾(某个空格不能取1-9之间任何数)就返回。这样做就是所谓的暴力求解，这么做肯定是没问题了，可以求解出正确结果。提交，ac了，4ms，打败了83%的人。。。

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" alt="" width="867" height="443" />

3.预处理+递归+回溯

但是我想，递归的复杂度和剩余格子的总数有指数关系，直接递归有点浪费时间，何尝不先用余数法给”预处理“一下呢，减少递归次数。。于是，两种方法一起，哦了

 int row[][] ;
 int col[][] ;
 int block[][] ;
 void solveSudoku(vector<vector<char>>& board) {
     if(board.size()!=||board[].size()!=)
         return;
     memset(row, , sizeof(row));
     memset(col, , sizeof(col));
     memset(block, , sizeof(block));
     //推导 derivation 对于九宫格中可能性唯一的数 直接求解 减少递归次数
     //余数法
     forward(board);
     for(int i=;i<;i++)
         for(int j=;j<;j++)
             if(board[i][j]!='.')
             {
                 row[i][board[i][j]-'']=;
                 col[j][board[i][j]-'']=;
                 block[(i/)*+j/][board[i][j]-'']=;
             }
     //假设 assume 对于可能性不唯一的数 递归假设求解
     assume(board,,);
 }

 bool assume(vector<vector<char>>& board,int i,int j)
 {
     if(i==)
         return true;
     if(board[i][j] != '.')
         return assume(board,i+(j+)/,(j+)%);
     else
         for(int c=;c<;c++)
         {
             if(!row[i][c]&&!col[j][c]&&!block[i/*+j/][c])
             {
                 board[i][j] = c+'';
                 row[i][c] = col[j][c] = block[i/*+j/][c] = ;
                 if(assume(board,i+(j+)/,(j+)%))
                     return true;
                 board[i][j] = '.';
                 row[i][c] = col[j][c] = block[i/*+j/][c] = ;
             }
         }
         return false;
 }
 void forward(vector<vector<char>>& board)
 {
     bool ex[][][] ;
     int count[][] ;
     memset(ex, , sizeof(ex));
     memset(count, , sizeof(count));
     queue<int> se;
     //求解所有可能性唯一的
     //get all results with only one possible answer
     for(int i=;i<;i++)
         for(int j=;j<;j++)
             if(board[i][j]=='.')
             {
                 for(int c=;c<;c++)
                 {
                      if(board[i][c]!='.'&&!ex[i][j][board[i][c]-''])
                     {
                         ex[i][j][board[i][c]-''] = true;
                         count[i][j]++;
                     }
                     if(board[c][j]!='.'&&!ex[i][j][board[c][j]-''])
                     {
                         ex[i][j][board[c][j]-''] = true;
                         count[i][j]++;
                     }
                     int ii = (i/)* + c/;
                     int jj = (j/)* + c%;
                     if(board[ii][jj]!='.'&&!ex[i][j][board[ii][jj]-''])
                     {
                         ex[i][j][board[ii][jj]-''] = true;
                         count[i][j]++;
                     }
                 }
                 //答案唯一的 push到队列
                 if(count[i][j]==)
                     se.push(i*+j);
             }
     while(!se.empty())
     {
         int cur = se.front();
         se.pop();
         int i = cur/;
         int j = cur%;
         for(int c=;c<;c++)
             if(!ex[i][j][c])
             {
                 board[i][j] = c + '';
                 break;
             }
         for(int c=;c<;c++)
         {
             if(board[i][c]=='.'&&!ex[i][c][board[i][j]-''])
             {
                 ex[i][c][board[i][j]-''] = true;
                 count[i][c]++;
                 if(count[i][c]==)
                     se.push(i*+c);
             }
             if(board[c][j]=='.'&&!ex[c][j][board[i][j]-''])
             {
                 ex[c][j][board[i][j]-''] = true;
                 count[c][j]++;
                 if(count[c][j]==)
                     se.push(c*+j);
             }
             int ii = (i/)* + c/;
             int jj = (j/)* + c%;
             if(board[ii][jj]=='.'&&!ex[ii][jj][board[i][j]-''])
             {
                 ex[ii][jj][board[i][j]-''] = true;
                 count[ii][jj]++;
                 if(count[ii][jj]==)
                     se.push(ii*+jj);
             }
         }
     }
 }

0ms，ac。
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" alt="" width="748" height="398" />
总结就是，余数法推到减少假设次数 + 递归假设求解子问题 。因为问题规模固定是9*9,因此损失的空间复杂度也能接受。

写了这个着实激发了我很大的兴趣，于是后面又写了生成题库的模块，图形界面的模块。。。