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➤微信公衆號:山青詠芝(shanqingyongzhi)
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➤GitHub地址:https://github.com/strengthen/LeetCode
➤原文地址:http://www.javashuo.com/article/p-vhqtkwhd-me.html
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There is an m by n grid with a ball. Given the start coordinate (i,j) of the ball, you can move the ball to adjacent cell or cross the grid boundary in four directions (up, down, left, right). However, you can at most move Ntimes. Find out the number of paths to move the ball out of grid boundary. The answer may be very large, return it after mod 109 + 7. git
Example 1:github
Input: m = 2, n = 2, N = 2, i = 0, j = 0 Output: 6 Explanation:
Example 2:微信
Input: m = 1, n = 3, N = 3, i = 0, j = 1 Output: 12 Explanation:
Note:spa
給定一個 m × n 的網格和一個球。球的起始座標爲 (i,j) ,你能夠將球移到相鄰的單元格內,或者往上、下、左、右四個方向上移動使球穿過網格邊界。可是,你最多能夠移動 N 次。找出能夠將球移出邊界的路徑數量。答案可能很是大,返回 結果 mod 109 + 7 的值。code
示例 1:htm
輸入: m = 2, n = 2, N = 2, i = 0, j = 0 輸出: 6 解釋:
示例 2:blog
輸入: m = 1, n = 3, N = 3, i = 0, j = 1 輸出: 12 解釋:
說明:get
44ms博客
1 class Solution { 2 func findPaths(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int) -> Int { 3 var dp = [[[Int]]](repeating: [[Int]](repeating: [Int](repeating: -1, count: N+1), count: n), count: m) 4 return findPaths(m, n, N, i, j, &dp) 5 } 6 7 func findPaths(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int, _ dp: inout [[[Int]]]) -> Int { 8 // print("\(i), \(j), \(N)") 9 let minMoves = min(min(i+1, m-i), min(j+1, n-j)) 10 if minMoves > N { return 0 } 11 if dp[i][j][N] > -1 { return dp[i][j][N] } 12 if dp[m-i-1][j][N] > -1 { return dp[m-i-1][j][N] } 13 if dp[i][n-j-1][N] > -1 { return dp[i][n-j-1][N] } 14 if dp[m-i-1][n-j-1][N] > -1 { return dp[m-i-1][n-j-1][N] } 15 var res = 0 16 for (d_i, d_j) in [(-1, 0), (1, 0), (0, -1), (0, 1)] { 17 let next_i = i + d_i 18 let next_j = j + d_j 19 if next_i < 0 || next_i >= m || next_j < 0 || next_j >= n { 20 res += 1 21 } else { 22 res += findPaths(m, n, N-1, next_i, next_j, &dp) 23 res = res % 1000000007 24 } 25 } 26 27 dp[i][j][N] = res 28 return res 29 } 30 }
104ms
1 class Solution { 2 private let dirs = [[-1, 0], [1, 0], [0, -1], [0, 1]] 3 private let mod = 1000000000 + 7 4 5 func findPaths(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int) -> Int { 6 var memo: [[[Int]]] = Array(repeating: Array(repeating: Array(repeating: -1, count: N + 1), count: n), count: m) 7 return dfs(m, n, N, i, j, &memo) 8 } 9 10 private func dfs(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int, _ memo: inout [[[Int]]]) -> Int { 11 if i < 0 || i >= m || j < 0 || j >= n { 12 return 1 13 } 14 if N == 0 { return 0 } 15 if memo[i][j][N] != -1 { return memo[i][j][N] } 16 memo[i][j][N] = 0 17 for dir in dirs { 18 let x = i + dir[0] 19 let y = j + dir[1] 20 memo[i][j][N] = (memo[i][j][N] + dfs(m, n, N - 1, x, y, &memo) % mod) % mod 21 } 22 return memo[i][j][N] 23 } 24 }
180ms
1 class Solution { 2 func findPaths(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int) -> Int { 3 let M = 1000000000 + 7 4 let memoZero = Array(repeating: Array(repeating: 0, count: n), count: m) 5 var memo = memoZero 6 memo[i][j] = 1 7 var count = 0 8 for _ in 0..<N { 9 var temp = memoZero 10 for x in 0..<m { 11 for y in 0..<n { 12 let curr = memo[x][y] 13 if x == m - 1 { count += curr } 14 if y == n - 1 { count += curr } 15 if x == 0 { count += curr } 16 if y == 0 { count += curr } 17 count %= M 18 temp[x][y] += x > 0 ? memo[x - 1][y]: 0 19 temp[x][y] += x < m - 1 ? memo[x + 1][y]: 0 20 temp[x][y] += y > 0 ? memo[x][y - 1]: 0 21 temp[x][y] += y < n - 1 ? memo[x][y + 1]: 0 22 temp[x][y] %= M 23 } 24 } 25 memo = temp 26 } 27 return count 28 } 29 }
1 class Solution { 2 func findPaths(_ m: Int, _ n: Int, _ N: Int, _ i: Int, _ j: Int) -> Int { 3 var res:Int = 0 4 var dp:[[Int]] = [[Int]](repeating:[Int](repeating:0,count:n),count:m) 5 dp[i][j] = 1 6 var dirs:[[Int]] = [[0,-1],[-1,0],[0,1],[1,0]] 7 for k in 0..<N 8 { 9 var t:[[Int]] = [[Int]](repeating:[Int](repeating:0,count:n),count:m) 10 for r in 0..<m 11 { 12 for c in 0..<n 13 { 14 for dir in dirs 15 { 16 var x:Int = r + dir[0] 17 var y:Int = c + dir[1] 18 if x < 0 || x >= m || y < 0 || y >= n 19 { 20 res = (res + dp[r][c]) % 1000000007 21 } 22 else 23 { 24 t[x][y] = (t[x][y] + dp[r][c]) % 1000000007 25 } 26 } 27 } 28 } 29 dp = t 30 } 31 return res 32 } 33 }