给定一个有障碍物的迷宫,计算从最顶部到最左端的单元格到达最右下端的单元格的路径数。如果是迷宫或死角,则给定迷宫中的像元值为-1,否则为0。
从给定的单元格中,我们只能移动到(i + 1,j)和(i,j + 1)单元格。
例子:
Input: maze[R][C] = {{0, 0, 0, 0},
{0, -1, 0, 0},
{-1, 0, 0, 0},
{0, 0, 0, 0}};
Output: 4
There are four possible paths as shown in
below diagram.
此问题是以下问题的扩展。
回溯|套装2(迷宫中的鼠)
在这篇文章中,讨论了一种不同的解决方案,该解决方案也可以用于解决上述迷宫问题中的“老鼠”问题。
这个想法是修改给定的grid [] [],以使grid [i] [j]包含从(0,0)到(i,j)的路径计数,如果(i,j)不是障碍物,否则grid [i] [j]保持-1。
We can recursively compute grid[i][j] using below
formula and finally return grid[R-1][C-1]
// If current cell is a blockage
if (maze[i][j] == -1)
maze[i][j] = -1; // Do not change
// If we can reach maze[i][j] from maze[i-1][j]
// then increment count.
else if (maze[i-1][j] > 0)
maze[i][j] = (maze[i][j] + maze[i-1][j]);
// If we can reach maze[i][j] from maze[i][j-1]
// then increment count.
else if (maze[i][j-1] > 0)
maze[i][j] = (maze[i][j] + maze[i][j-1]);
以下是上述想法的实现。
C++
// C++ program to count number of paths in a maze
// with obstacles.
#include
using namespace std;
#define R 4
#define C 4
// Returns count of possible paths in a maze[R][C]
// from (0,0) to (R-1,C-1)
int countPaths(int maze[][C])
{
// If the initial cell is blocked, there is no
// way of moving anywhere
if (maze[0][0]==-1)
return 0;
// Initializing the leftmost column
for (int i=0; i 0)
maze[i][j] = (maze[i][j] + maze[i-1][j]);
// If we can reach maze[i][j] from maze[i][j-1]
// then increment count.
if (maze[i][j-1] > 0)
maze[i][j] = (maze[i][j] + maze[i][j-1]);
}
}
// If the final cell is blocked, output 0, otherwise
// the answer
return (maze[R-1][C-1] > 0)? maze[R-1][C-1] : 0;
}
// Driver code
int main()
{
int maze[R][C] = {{0, 0, 0, 0},
{0, -1, 0, 0},
{-1, 0, 0, 0},
{0, 0, 0, 0}};
cout << countPaths(maze);
return 0;
}
Java
// Java program to count number of paths in a maze
// with obstacles.
import java.io.*;
class GFG
{
static int R = 4;
static int C = 4;
// Returns count of possible paths in
// a maze[R][C] from (0,0) to (R-1,C-1)
static int countPaths(int maze[][])
{
// If the initial cell is blocked,
// there is no way of moving anywhere
if (maze[0][0]==-1)
return 0;
// Initializing the leftmost column
for (int i = 0; i < R; i++)
{
if (maze[i][0] == 0)
maze[i][0] = 1;
// If we encounter a blocked cell
// in leftmost row, there is no way
// of visiting any cell directly below it.
else
break;
}
// Similarly initialize the topmost row
for (int i =1 ; i< C ; i++)
{
if (maze[0][i] == 0)
maze[0][i] = 1;
// If we encounter a blocked cell in
// bottommost row, there is no way of
// visiting any cell directly below it.
else
break;
}
// The only difference is that if a cell
// is -1, simply ignore it else recursively
// compute count value maze[i][j]
for (int i = 1; i < R; i++)
{
for (int j = 1; j 0)
maze[i][j] = (maze[i][j] +
maze[i - 1][j]);
// If we can reach maze[i][j] from
// maze[i][j-1] then increment count.
if (maze[i][j - 1] > 0)
maze[i][j] = (maze[i][j] +
maze[i][j - 1]);
}
}
// If the final cell is blocked,
// output 0, otherwise the answer
return (maze[R - 1][C - 1] > 0) ?
maze[R - 1][C - 1] : 0;
}
// Driver code
public static void main (String[] args)
{
int maze[][] = {{0, 0, 0, 0},
{0, -1, 0, 0},
{-1, 0, 0, 0},
{0, 0, 0, 0}};
System.out.println (countPaths(maze));
}
}
// This code is contributed by vt_m
Python3
# Python 3 program to count number of paths
# in a maze with obstacles.
R = 4
C = 4
# Returns count of possible paths in a
# maze[R][C] from (0,0) to (R-1,C-1)
def countPaths(maze):
# If the initial cell is blocked,
# there is no way of moving anywhere
if (maze[0][0] == -1):
return 0
# Initializing the leftmost column
for i in range(R):
if (maze[i][0] == 0):
maze[i][0] = 1
# If we encounter a blocked cell in
# leftmost row, there is no way of
# visiting any cell directly below it.
else:
break
# Similarly initialize the topmost row
for i in range(1, C, 1):
if (maze[0][i] == 0):
maze[0][i] = 1
# If we encounter a blocked cell in
# bottommost row, there is no way of
# visiting any cell directly below it.
else:
break
# The only difference is that if a cell is -1,
# simply ignore it else recursively compute
# count value maze[i][j]
for i in range(1, R, 1):
for j in range(1, C, 1):
# If blockage is found, ignore this cell
if (maze[i][j] == -1):
continue
# If we can reach maze[i][j] from
# maze[i-1][j] then increment count.
if (maze[i - 1][j] > 0):
maze[i][j] = (maze[i][j] +
maze[i - 1][j])
# If we can reach maze[i][j] from
# maze[i][j-1] then increment count.
if (maze[i][j - 1] > 0):
maze[i][j] = (maze[i][j] +
maze[i][j - 1])
# If the final cell is blocked,
# output 0, otherwise the answer
if (maze[R - 1][C - 1] > 0):
return maze[R - 1][C - 1]
else:
return 0
# Driver code
if __name__ == '__main__':
maze = [[0, 0, 0, 0],
[0, -1, 0, 0],
[-1, 0, 0, 0],
[0, 0, 0, 0 ]]
print(countPaths(maze))
# This code is contributed by
# Surendra_Gangwar
C#
// C# program to count number of paths in a maze
// with obstacles.
using System;
class GFG {
static int R = 4;
static int C = 4;
// Returns count of possible paths in
// a maze[R][C] from (0,0) to (R-1,C-1)
static int countPaths(int [,]maze)
{
// If the initial cell is blocked,
// there is no way of moving anywhere
if (maze[0,0]==-1)
return 0;
// Initializing the leftmost column
for (int i = 0; i < R; i++)
{
if (maze[i,0] == 0)
maze[i,0] = 1;
// If we encounter a blocked cell
// in leftmost row, there is no way
// of visiting any cell directly below it.
else
break;
}
// Similarly initialize the topmost row
for (int i =1 ; i< C ; i++)
{
if (maze[0,i] == 0)
maze[0,i] = 1;
// If we encounter a blocked cell in
// bottommost row, there is no way of
// visiting any cell directly below it.
else
break;
}
// The only difference is that if a cell
// is -1, simply ignore it else recursively
// compute count value maze[i][j]
for (int i = 1; i < R; i++)
{
for (int j = 1; j 0)
maze[i,j] = (maze[i,j] +
maze[i - 1,j]);
// If we can reach maze[i][j] from
// maze[i][j-1] then increment count.
if (maze[i,j - 1] > 0)
maze[i,j] = (maze[i,j] +
maze[i,j - 1]);
}
}
// If the final cell is blocked,
// output 0, otherwise the answer
return (maze[R - 1,C - 1] > 0) ?
maze[R - 1,C - 1] : 0;
}
// Driver code
public static void Main ()
{
int [,]maze = { {0, 0, 0, 0},
{0, -1, 0, 0},
{-1, 0, 0, 0},
{0, 0, 0, 0}};
Console.Write (countPaths(maze));
}
}
// This code is contributed by nitin mittal.
PHP
0)
$maze[$i][$j] = ($maze[$i][$j] +
$maze[$i - 1][$j]);
// If we can reach maze[i][j]
// from maze[i][j-1]
// then increment count.
if ($maze[$i][$j - 1] > 0)
$maze[$i][$j] = ($maze[$i][$j] +
$maze[$i][$j - 1]);
}
}
// If the final cell is
// blocked, output 0,
// otherwise the answer
return ($maze[$R - 1][$C - 1] > 0) ?
$maze[$R - 1][$C - 1] : 0;
}
// Driver Code
$maze = array(array(0, 0, 0, 0),
array(0, -1, 0, 0),
array(-1, 0, 0, 0),
array(0, 0, 0, 0));
echo countPaths($maze);
// This code is contributed by anuj_67.
?>
Javascript
输出:
4
时间复杂度:O(R x C)