Longest Possible Route in a Matrix with Hurdles
Given an M x N matrix, with a few hurdles arbitrarily placed, calculate the length of the longest possible route possible from source to a destination within the matrix. We are allowed to move to only adjacent cells which are not hurdles. The route cannot contain any diagonal moves and a location once visited in a particular path cannot be visited again.
For example, the longest path with no hurdles from source to destination is highlighted below. The length of the path is 24.
The idea is to use Backtracking. We start from the source cell of the matrix, move forward in all four allowed directions, and recursively checks if they lead to the solution or not. If the destination is found, we update the value of the longest path else if none of the above solutions work we return false from our function.
Below is the implementation of the above idea
CPP
// C++ program to find Longest Possible Route in a // matrix with hurdles #include <bits/stdc++.h> using namespace std; #define R 3 #define C 10 // A Pair to store status of a cell. found is set to // true of destination is reachable and value stores // distance of longest path struct Pair { // true if destination is found bool found; // stores cost of longest path from current cell to // destination cell int value; }; // Function to find Longest Possible Route in the // matrix with hurdles. If the destination is not reachable // the function returns false with cost INT_MAX. // (i, j) is source cell and (x, y) is destination cell. Pair findLongestPathUtil( int mat[R][C], int i, int j, int x, int y, bool visited[R][C]) { // if (i, j) itself is destination, return true if (i == x && j == y) { Pair p = { true , 0 }; return p; } // if not a valid cell, return false if (i < 0 || i >= R || j < 0 || j >= C || mat[i][j] == 0 || visited[i][j]) { Pair p = { false , INT_MAX }; return p; } // include (i, j) in current path i.e. // set visited(i, j) to true visited[i][j] = true ; // res stores longest path from current cell (i, j) to // destination cell (x, y) int res = INT_MIN; // go left from current cell Pair sol = findLongestPathUtil(mat, i, j - 1, x, y, visited); // if destination can be reached on going left from // current cell, update res if (sol.found) res = max(res, sol.value); // go right from current cell sol = findLongestPathUtil(mat, i, j + 1, x, y, visited); // if destination can be reached on going right from // current cell, update res if (sol.found) res = max(res, sol.value); // go up from current cell sol = findLongestPathUtil(mat, i - 1, j, x, y, visited); // if destination can be reached on going up from // current cell, update res if (sol.found) res = max(res, sol.value); // go down from current cell sol = findLongestPathUtil(mat, i + 1, j, x, y, visited); // if destination can be reached on going down from // current cell, update res if (sol.found) res = max(res, sol.value); // Backtrack visited[i][j] = false ; // if destination can be reached from current cell, // return true if (res != INT_MIN) { Pair p = { true , 1 + res }; return p; } // if destination can't be reached from current cell, // return false else { Pair p = { false , INT_MAX }; return p; } } // A wrapper function over findLongestPathUtil() void findLongestPath( int mat[R][C], int i, int j, int x, int y) { // create a boolean matrix to store info about // cells already visited in current route bool visited[R][C]; // initialize visited to false memset (visited, false , sizeof visited); // find longest route from (i, j) to (x, y) and // print its maximum cost Pair p = findLongestPathUtil(mat, i, j, x, y, visited); if (p.found) cout << "Length of longest possible route is " << p.value; // If the destination is not reachable else cout << "Destination not reachable from given " "source" ; } // Driver code int main() { // input matrix with hurdles shown with number 0 int mat[R][C] = { { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 1, 1, 0, 1, 1, 0, 1, 1, 0, 1 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 } }; // find longest path with source (0, 0) and // destination (1, 7) findLongestPath(mat, 0, 0, 1, 7); return 0; } |
Java
// Java program to find Longest Possible Route in a // matrix with hurdles import java.io.*; class GFG { static int R = 3 ; static int C = 10 ; // A Pair to store status of a cell. found is set to // true of destination is reachable and value stores // distance of longest path static class Pair { // true if destination is found boolean found; // stores cost of longest path from current cell to // destination cell int val; Pair ( boolean x, int y){ found = x; val = y; } } // Function to find Longest Possible Route in the // matrix with hurdles. If the destination is not reachable // the function returns false with cost Integer.MAX_VALUE. // (i, j) is source cell and (x, y) is destination cell. static Pair findLongestPathUtil ( int mat[][], int i, int j, int x, int y, boolean visited[][]) { // if (i, j) itself is destination, return true if (i == x && j == y) return new Pair( true , 0 ); // if not a valid cell, return false if (i < 0 || i >= R || j < 0 || j >= C || mat[i][j] == 0 || visited[i][j] ) return new Pair( false , Integer.MAX_VALUE); // include (i, j) in current path i.e. // set visited(i, j) to true visited[i][j] = true ; // res stores longest path from current cell (i, j) to // destination cell (x, y) int res = Integer.MIN_VALUE; // go left from current cell Pair sol = findLongestPathUtil(mat, i, j- 1 , x, y, visited); // if destination can be reached on going left from current // cell, update res if (sol.found) res = Math.max(sol.val, res); // go right from current cell sol = findLongestPathUtil(mat, i, j+ 1 , x, y, visited); // if destination can be reached on going right from current // cell, update res if (sol.found) res = Math.max(sol.val, res); // go up from current cell sol = findLongestPathUtil(mat, i- 1 , j, x, y, visited); // if destination can be reached on going up from current // cell, update res if (sol.found) res = Math.max(sol.val, res); // go down from current cell sol = findLongestPathUtil(mat, i+ 1 , j, x, y, visited); // if destination can be reached on going down from current // cell, update res if (sol.found) res = Math.max(sol.val, res); // Backtrack visited[i][j] = false ; // if destination can be reached from current cell, // return true if (res != Integer.MIN_VALUE) return new Pair( true , res+ 1 ); // if destination can't be reached from current cell, // return false else return new Pair( false , Integer.MAX_VALUE); } // A wrapper function over findLongestPathUtil() static void findLongestPath ( int mat[][], int i, int j, int x, int y) { // create a boolean matrix to store info about // cells already visited in current route boolean visited[][] = new boolean [R][C]; // find longest route from (i, j) to (x, y) and // print its maximum cost Pair p = findLongestPathUtil(mat, i, j, x, y, visited); if (p.found) System.out.println( "Length of longest possible route is " + p.val); // If the destination is not reachable else System.out.println( "Destination not reachable from given source" ); } // Driver Code public static void main (String[] args) { // input matrix with hurdles shown with number 0 int mat[][] = { { 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 }, { 1 , 1 , 0 , 1 , 1 , 0 , 1 , 1 , 0 , 1 }, { 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 } }; // find longest path with source (0, 0) and // destination (1, 7) findLongestPath(mat, 0 , 0 , 1 , 7 ); } } // This code is contributed by th_aditi. |
Python3
# Python program to find Longest Possible Route in a # matrix with hurdles import sys R,C = 3 , 10 # A Pair to store status of a cell. found is set to # True of destination is reachable and value stores # distance of longest path class Pair: def __init__( self , found, value): self .found = found self .value = value # Function to find Longest Possible Route in the # matrix with hurdles. If the destination is not reachable # the function returns false with cost sys.maxsize. # (i, j) is source cell and (x, y) is destination cell. def findLongestPathUtil(mat, i, j, x, y, visited): # if (i, j) itself is destination, return True if (i = = x and j = = y): p = Pair( True , 0 ) return p # if not a valid cell, return false if (i < 0 or i > = R or j < 0 or j > = C or mat[i][j] = = 0 or visited[i][j]) : p = Pair( False , sys.maxsize ) return p # include (i, j) in current path i.e. # set visited(i, j) to True visited[i][j] = True # res stores longest path from current cell (i, j) to # destination cell (x, y) res = - sys.maxsize - 1 # go left from current cell sol = findLongestPathUtil(mat, i, j - 1 , x, y, visited) # if destination can be reached on going left from # current cell, update res if (sol.found): res = max (res, sol.value) # go right from current cell sol = findLongestPathUtil(mat, i, j + 1 , x, y, visited) # if destination can be reached on going right from # current cell, update res if (sol.found): res = max (res, sol.value) # go up from current cell sol = findLongestPathUtil(mat, i - 1 , j, x, y, visited) # if destination can be reached on going up from # current cell, update res if (sol.found): res = max (res, sol.value) # go down from current cell sol = findLongestPathUtil(mat, i + 1 , j, x, y, visited) # if destination can be reached on going down from # current cell, update res if (sol.found): res = max (res, sol.value) # Backtrack visited[i][j] = False # if destination can be reached from current cell, # return True if (res ! = - sys.maxsize - 1 ): p = Pair( True , 1 + res ) return p # if destination can't be reached from current cell, # return false else : p = Pair( False , sys.maxsize ) return p # A wrapper function over findLongestPathUtil() def findLongestPath(mat, i, j, x,y): # create a boolean matrix to store info about # cells already visited in current route # initialize visited to false visited = [[ False for i in range (C)] for j in range (R)] # find longest route from (i, j) to (x, y) and # print its maximum cost p = findLongestPathUtil(mat, i, j, x, y, visited) if (p.found): print ( "Length of longest possible route is " , str (p.value)) # If the destination is not reachable else : print ( "Destination not reachable from given source" ) # Driver code # input matrix with hurdles shown with number 0 mat = [ [ 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ], [ 1 , 1 , 0 , 1 , 1 , 0 , 1 , 1 , 0 , 1 ], [ 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 ] ] # find longest path with source (0, 0) and # destination (1, 7) findLongestPath(mat, 0 , 0 , 1 , 7 ) # This code is contributed by shinjanpatra |
C#
// Java program to find Longest Possible Route in a // matrix with hurdles using System; class GFG { static int R = 3; static int C = 10; // Function to find Longest Possible Route in the // matrix with hurdles. If the destination is not reachable // the function returns false with cost Integer.MAX_VALUE. // (i, j) is source cell and (x, y) is destination cell. static Tuple< bool , int > findLongestPathUtil ( int [, ] mat, int i, int j, int x, int y, bool [, ] visited) { // if (i, j) itself is destination, return true if (i == x && j == y) return new Tuple< bool , int >( true , 0); // if not a valid cell, return false if (i < 0 || i >= R || j < 0 || j >= C || mat[i,j] == 0 || visited[i,j]) return new Tuple< bool , int >( false , Int32.MaxValue); // include (i, j) in current path i.e. // set visited(i, j) to true visited[i,j] = true ; // res stores longest path from current cell (i, j) to // destination cell (x, y) int res = Int32.MinValue; // go left from current cell Tuple< bool , int > sol = findLongestPathUtil(mat, i, j-1, x, y, visited); // if destination can be reached on going left from current // cell, update res if (sol.Item1) res = Math.Max(sol.Item2, res); // go right from current cell sol = findLongestPathUtil(mat, i, j+1, x, y, visited); // if destination can be reached on going right from current // cell, update res if (sol.Item1) res = Math.Max(sol.Item2, res); // go up from current cell sol = findLongestPathUtil(mat, i-1, j, x, y, visited); // if destination can be reached on going up from current // cell, update res if (sol.Item1) res = Math.Max(sol.Item2, res); // go down from current cell sol = findLongestPathUtil(mat, i+1, j, x, y, visited); // if destination can be reached on going down from current // cell, update res if (sol.Item1) res = Math.Max(sol.Item2, res); // Backtrack visited[i,j] = false ; // if destination can be reached from current cell, // return true if (res != Int32.MinValue) return new Tuple< bool , int >( true , res+1); // if destination can't be reached from current cell, // return false else return new Tuple< bool , int >( false , Int32.MaxValue); } // A wrapper function over findLongestPathUtil() static void findLongestPath ( int [, ]mat, int i, int j, int x, int y) { // create a boolean matrix to store info about // cells already visited in current route bool [,] visited = new bool [R,C]; // find longest route from (i, j) to (x, y) and // print its maximum cost Tuple< bool , int > p = findLongestPathUtil(mat, i, j, x, y, visited); if (p.Item1) Console.WriteLine( "Length of longest possible route is : " + p.Item2); // If the destination is not reachable else Console.WriteLine( "Destination not reachable from given source" ); } // Driver Code public static void Main() { // input matrix with hurdles shown with number 0 int [,] mat = new int [,] { { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, { 1, 1, 0, 1, 1, 0, 1, 1, 0, 1 }, { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 } }; // find longest path with source (0, 0) and // destination (1, 7) findLongestPath(mat, 0, 0, 1, 7); } } // This code is contributed by Abhijeet Kumar(abhijeet19403) |
Length of longest possible route is 24
Time Complexity: 4^(R*C)
Here R and C are the numbers of rows and columns respectively. For every index we have four options, so our overall time complexity will become 4^(R*C).
Auxiliary Space: O(R*C)
The extra space is used in storing the elements of the visited matrix.
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