Medium
Given an m x n
grid of characters board
and a string word
, return true
if word
exists in the grid.
The word can be constructed from letters of sequentially adjacent cells, where adjacent cells are horizontally or vertically neighboring. The same letter cell may not be used more than once.
Example 1:
Input: board = [[“A”,”B”,”C”,”E”],[“S”,”F”,”C”,”S”],[“A”,”D”,”E”,”E”]], word = “ABCCED”
Output: true
Example 2:
Input: board = [[“A”,”B”,”C”,”E”],[“S”,”F”,”C”,”S”],[“A”,”D”,”E”,”E”]], word = “SEE”
Output: true
Example 3:
Input: board = [[“A”,”B”,”C”,”E”],[“S”,”F”,”C”,”S”],[“A”,”D”,”E”,”E”]], word = “ABCB”
Output: false
Constraints:
m == board.length
n = board[i].length
1 <= m, n <= 6
1 <= word.length <= 15
board
and word
consists of only lowercase and uppercase English letters.Follow up: Could you use search pruning to make your solution faster with a larger board
?
class Solution {
private fun backtrace(
board: Array<CharArray>,
visited: Array<BooleanArray>,
word: String,
index: Int,
x: Int,
y: Int
): Boolean {
if (index == word.length) {
return true
}
if (x < 0 || x >= board.size || y < 0 || y >= board[0].size || visited[x][y]) {
return false
}
visited[x][y] = true
return if (word[index] == board[x][y]) {
val res = (
backtrace(board, visited, word, index + 1, x, y + 1) ||
backtrace(board, visited, word, index + 1, x, y - 1) ||
backtrace(board, visited, word, index + 1, x + 1, y) ||
backtrace(board, visited, word, index + 1, x - 1, y)
)
if (!res) {
visited[x][y] = false
}
res
} else {
visited[x][y] = false
false
}
}
fun exist(board: Array<CharArray>, word: String): Boolean {
val visited = Array(board.size) {
BooleanArray(
board[0].size
)
}
for (i in board.indices) {
for (j in board[0].indices) {
if (backtrace(board, visited, word, 0, i, j)) {
return true
}
}
}
return false
}
}