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A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).git
The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below).github
Now consider if some obstacles are added to the grids. How many unique paths would there be?微信
An obstacle and empty space is marked as 1
and 0
respectively in the grid.ide
Note: m and n will be at most 100.spa
Example 1:code
Input: [ [0,0,0], [0,1,0], [0,0,0] ] Output: 2 Explanation: There is one obstacle in the middle of the 3x3 grid above. There are two ways to reach the bottom-right corner: 1. Right -> Right -> Down -> Down 2. Down -> Down -> Right -> Right
一个机器人位于一个 m x n 网格的左上角 (起始点在下图中标记为“Start” )。htm
机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角(在下图中标记为“Finish”)。blog
如今考虑网格中有障碍物。那么从左上角到右下角将会有多少条不一样的路径?get
网格中的障碍物和空位置分别用 1
和 0
来表示。
说明:m 和 n 的值均不超过 100。
示例 1:
输入: [ [0,0,0], [0,1,0], [0,0,0] ] 输出: 2 解释: 3x3 网格的正中间有一个障碍物。 从左上角到右下角一共有 条不一样的路径: 1. 向右 -> 向右 -> 向下 -> 向下 2. 向下 -> 向下 -> 向右 -> 向右2
12ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 let rowCount = obstacleGrid.count 4 let colCount = obstacleGrid.first?.count ?? 0 5 guard rowCount > 0, colCount > 0 else { return 0 } 6 var paths = Array(repeating: Array(repeating: 0, count: colCount), count: rowCount) 7 8 if obstacleGrid[0][0] != 1 { 9 paths[0][0] = 1 10 } 11 for i in 1..<rowCount { 12 if obstacleGrid[i][0] != 1 { 13 paths[i][0] = paths[i-1][0] 14 } 15 } 16 17 for i in 1..<colCount { 18 if obstacleGrid[0][i] != 1 { 19 paths[0][i] = paths[0][i-1] 20 } 21 } 22 23 for r in 1..<rowCount { 24 for c in 1..<colCount { 25 if obstacleGrid[r][c] != 1 { 26 paths[r][c] = paths[r-1][c] + paths[r][c-1] 27 } else { 28 paths[r][c] = 0 29 } 30 } 31 } 32 33 return paths[rowCount-1][colCount-1] 34 } 35 }
16ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 4 let m = obstacleGrid.count 5 if m == 0 { return 0 } 6 let n = obstacleGrid[0].count 7 if n == 0 { return 0 } 8 9 var f = [[Int]](repeating: [Int](repeating: 0, count: n), count: m) 10 11 for i in 0..<m { 12 if obstacleGrid[i][0] == 1 { 13 break 14 } else { 15 f[i][0] = 1 16 } 17 } 18 19 for i in 0..<n { 20 if obstacleGrid[0][i] == 1 { 21 break 22 } else { 23 f[0][i] = 1 24 } 25 } 26 27 for i in 1..<m { 28 for j in 1..<n { 29 30 if obstacleGrid[i][j] == 1 { 31 f[i][j] = 0 32 } else { 33 f[i][j] = f[i - 1][j] + f[i][j - 1] 34 } 35 } 36 } 37 38 return f[m - 1][n - 1] 39 } 40 }
16ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 guard obstacleGrid.count > 0 && obstacleGrid[0].count > 0 else { 4 return 0 5 } 6 var m = obstacleGrid.count, n = obstacleGrid[0].count 7 var dp = [[Int]](repeating: [Int](repeating: 0, count: n), count: m) 8 for i in 0..<m { 9 if obstacleGrid[i][0] == 1 { 10 for k in i..<m { 11 dp[k][0] = 0 12 } 13 break 14 } else { 15 dp[i][0] = 1 16 } 17 } 18 for j in 0..<n { 19 if obstacleGrid[0][j] == 1 { 20 for k in j..<n { 21 dp[0][k] = 0 22 } 23 break 24 } else { 25 dp[0][j] = 1 26 } 27 28 } 29 30 for i in 1..<m { 31 for j in 1..<n { 32 if obstacleGrid[i][j] == 1 { 33 dp[i][j] = 0 34 } else { 35 dp[i][j] = dp[i - 1][j] + dp[i][j - 1] 36 } 37 38 } 39 } 40 41 return dp[m - 1][n - 1] 42 } 43 }
20ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 guard obstacleGrid.count > 0 && obstacleGrid[0].count>0 else { 4 return 0 5 } 6 7 let rowCount = obstacleGrid.count 8 let colCount = obstacleGrid[0].count 9 var dp = [[Int]](repeating:[Int](repeating:1, count:colCount), count:rowCount) 10 var occupiedRow = false 11 var occupiedCol = false 12 for row in 0..<rowCount { 13 if obstacleGrid[row][0] == 1 || occupiedRow { 14 occupiedRow = true 15 dp[row][0] = 0 16 } 17 } 18 19 for col in 0..<colCount { 20 if obstacleGrid[0][col] == 1 || occupiedCol { 21 occupiedCol = true 22 dp[0][col] = 0 23 } 24 } 25 26 for i in 1..<rowCount { 27 for j in 1..<colCount{ 28 if obstacleGrid[i][j] == 1 { 29 dp[i][j] = 0 30 } else { 31 dp[i][j] = (obstacleGrid[i-1][j] == 1 ? 0 : dp[i-1][j]) + (obstacleGrid[i][j-1] == 1 ? 0 : dp[i][j-1]) 32 } 33 } 34 } 35 36 return dp[rowCount-1][colCount-1] 37 } 38 }
24ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 var Result = Array(repeating: Array(repeating: 0, count:obstacleGrid[0].count) 4 , count: obstacleGrid.count) 5 if obstacleGrid.count == 0 || obstacleGrid[0].count == 0 || obstacleGrid[0][0] == 1 { 6 return 0 7 } 8 // 设置边界值,碰到障碍物后都无路径 9 for i in 0..<obstacleGrid.count { 10 if obstacleGrid[i][0] == 1 { 11 break 12 } 13 Result[i][0] = 1 14 } 15 // 设置边界值,碰到障碍物后都无路径 16 for j in 0..<obstacleGrid[0].count { 17 if obstacleGrid[0][j] == 1 { 18 break 19 } 20 Result[0][j] = 1 21 } 22 23 // 动态规划求出路径(迭代法) 24 for i in 1..<obstacleGrid.count { 25 for j in 1..<obstacleGrid[0].count { 26 if obstacleGrid[i][j] == 0 { 27 Result[i][j] = Result[i-1][j] + Result[i][j-1] 28 } else { // 障碍物无路劲 29 Result[i][j] = 0 30 } 31 } 32 } 33 return Result[Result.count - 1][Result[0].count - 1] 34 } 35 }
24ms
1 class Solution { 2 func uniquePathsWithObstacles(_ obstacleGrid: [[Int]]) -> Int { 3 let R = obstacleGrid.count 4 let C = obstacleGrid[0].count 5 var obstacleGrid = obstacleGrid 6 7 // If the starting cell has an obstacle, then simply return as there would be 8 // no paths to the destination. 9 if obstacleGrid[0][0] == 1 { 10 return 0 11 } 12 13 // Number of ways of reaching the starting cell = 1. 14 obstacleGrid[0][0] = 1 15 16 // Filling the values for the first column 17 for i in 1..<R { 18 obstacleGrid[i][0] = (obstacleGrid[i][0] == 0 && obstacleGrid[i - 1][0] == 1) ? 1 : 0 19 } 20 21 // Filling the values for the first row 22 for i in 1..<C { 23 obstacleGrid[0][i] = (obstacleGrid[0][i] == 0 && obstacleGrid[0][i - 1] == 1) ? 1 : 0 24 } 25 26 // Starting from cell(1,1) fill up the values 27 // No. of ways of reaching cell[i][j] = cell[i - 1][j] + cell[i][j - 1] 28 // i.e. From above and left. 29 for i in 1..<R { 30 for j in 1..<C { 31 if obstacleGrid[i][j] == 0 { 32 obstacleGrid[i][j] = obstacleGrid[i - 1][j] + obstacleGrid[i][j - 1] 33 } else { 34 obstacleGrid[i][j] = 0 35 } 36 } 37 } 38 39 // Return value stored in rightmost bottommost cell. That is the destination. 40 return obstacleGrid[R - 1][C - 1] 41 } 42 }