LeetCode - Word Search

Word Search

2014.2.26 23:59

Given a 2D board and a word, find if the word exists in the grid.

The word can be constructed from letters of sequentially adjacent cell, where "adjacent" cells are those horizontally or vertically neighboring. The same letter cell may not be used more than once.

For example,
Given board =

[

  ["ABCE"],

  ["SFCS"],

  ["ADEE"]

]

word = "ABCCED", -> returns true,
word = "SEE", -> returns true,
word = "ABCB", -> returns false.

Solution:

　　Simple problem of DFS.

　　Total time complexity is O(n^2 * len(word)). Space complexity is O(n^2).

Accepted code:

 1 // 1CE, 1AC, very smooth.

 2 class Solution {

 3 public:

 4     bool exist(vector<vector<char> > &board, string word) {

 5         n = (int)board.size();

 6         if (n == 0) {

 7             return false;

 8         }

 9         m = (int)board[0].size();

10         word_len = (int)word.length();

11         

12         if (word_len == 0) {

13             return true;

14         }

15         

16         int i, j;

17         for (i = 0; i < n; ++i) {

18             for (j = 0; j < m; ++j) {

19                 if(dfs(board, word, i, j, 0)) {

20                     return true;

21                 }

22             }

23         }

24         return false;

25     }

26 private:

27     int n, m;

28     int word_len;

29     

30     bool dfs(vector<vector<char> > &board, string &word, int x, int y, int idx) {

31         if (x < 0 || x > n - 1 || y < 0 || y > m - 1) {

32             return false;

33         }

34         

35         if (board[x][y] < 'A' || board[x][y] != word[idx]) {

36             // already searched here

37             // letter mismatch here

38             return false;

39         }

40         

41         bool res;

42         if (idx == word_len - 1) {

43             // reach the end of word, success

44             return true;

45         } else {

46             // up

47             board[x][y] -= 'A';

48             res = dfs(board, word, x - 1, y, idx + 1);

49             board[x][y] += 'A';

50             if (res) {

51                 return true;

52             }

53             

54             // down

55             board[x][y] -= 'A';

56             res = dfs(board, word, x + 1, y, idx + 1);

57             board[x][y] += 'A';

58             if (res) {

59                 return true;

60             }

61             

62             // left

63             board[x][y] -= 'A';

64             res = dfs(board, word, x, y - 1, idx + 1);

65             board[x][y] += 'A';

66             if (res) {

67                 return true;

68             }

69             

70             // right

71             board[x][y] -= 'A';

72             res = dfs(board, word, x, y + 1, idx + 1);

73             board[x][y] += 'A';

74             if (res) {

75                 return true;

76             }

77         }

78         // all letters will be within [A-Z], thus I marked a position as 'searched' by setting them to an invalid value.

79         // we have to restore the value when the DFS is done, so their values must still be distiguishable.

80         // therefore, I used an offset value of 'A'.

81         // this tricky way is to save the extra O(n * m) space needed as marker array.

82         

83         return false;

84     }

85 };